{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "3c9e73d4",
   "metadata": {},
   "source": [
    "# 8. 分析句子结构\n",
    "\n",
    "前面的章节重点关注词：如何识别它们，分析它们的结构，分配给他们词汇类别，以及获得它们的含义。我们还看到了如何识别词序列或n-grams中的模式。然而，这些方法只触碰到支配句子的复杂约束的表面。我们需要一种方法处理自然语言中显著的歧义。我们还需要能够应对这样一个事实，句子有无限的可能，而我们只能写有限的程序来分析其结构和发现它们的含义。\n",
    "\n",
    "本章的目的是要回答下列问题：\n",
    "\n",
    "1. 我们如何使用形式化语法来描述无限的句子集合的结构？\n",
    "2. 我们如何使用句法树来表示句子结构？\n",
    "3. 语法分析器如何分析一个句子并自动构建句法树？\n",
    "\n",
    "一路上，我们将覆盖英语句法的基础，并看到句子含义有系统化的一面，只要我们确定了句子结构，将更容易捕捉。\n",
    "\n",
    "<a href=\"#1-一些语法困境\">1 一些语法困境</a> \n",
    "\n",
    "<a href=\"#3\">3.3  句法结构中的递归</a> \n",
    "\n",
    "<a href=\"#4\">4.2 移进-归约分析</a> \n",
    "\n",
    "<a href=\"#5-依存关系和依存文法\">5 依存关系和依存文法</a> \n",
    "\n",
    "<a href=\"#6-语法开发\">6 语法开发</a> \n",
    "\n",
    "<a href=\"#7-小结\">7 小结</a> \n",
    "\n",
    "<a href=\"#8-深入阅读\">8 深入阅读</a> \n",
    "\n",
    "<a href=\"#9-练习\">9 练习</a> \n",
    "\n",
    "## 1 一些语法困境\n",
    "\n",
    "## 1.1 语言数据和无限可能性\n",
    "\n",
    "前面的章节中已经为你讲述了如何处理和分析的文本语料库，我们一直强调处理大量的每天都在增加的电子语言数据是NLP的挑战。让我们更加细致的思考这些数据，做一个思想上的实验，我们有一个巨大的语料库，包括在过去50年中英文表达或写成的一切。我们称这个语料库为“现代英语”合理吗？有许多为什么我们的回答可能是否定的的原因。回想一下，在[3](https://usyiyi.github.io/nlp-py-2e-zh/3.html#chap-words)中，我们让你搜索网络查找the of模式的实例。虽然很容易在网上找到包含这个词序列的例子，例如New man at the of IMG （见`http://www.telegraph.co.uk/sport/2387900/New-man-at-the-of-IMG.html`），说英语的人会说大多数这样的例子是错误的，因此它们根本不是英语。\n",
    "\n",
    "因此，我们可以说，“现代英语”并不等同于我们想象中的语料库中的非常大的词序列的集合。说英语的人可以判断这些序列，并将拒绝其中一些不合语法的。\n",
    "\n",
    "同样，组成一个新的句子，并让说话者认为它是非常好的英语是很容易的。例如，句子有一个有趣的属性，它们可以嵌入更大的句子中。考虑下面的句子："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "37df23b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import nltk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "3ea579ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "groucho_grammar = nltk.CFG.fromstring(\"\"\"\n",
    "S -> NP VP\n",
    "PP -> P NP\n",
    "NP -> Det N | Det N PP | 'I'\n",
    "VP -> V NP | VP PP\n",
    "Det -> 'an' | 'my'\n",
    "N -> 'elephant' | 'pajamas'\n",
    "V -> 'shot'\n",
    "P -> 'in'\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9a857a4",
   "metadata": {},
   "source": [
    "这个文法允许以两种方式分析句子，取决于介词短语in my pajamas是描述大象还是枪击事件。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7d5cf13d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(S\n",
      "  (NP I)\n",
      "  (VP\n",
      "    (VP (V shot) (NP (Det an) (N elephant)))\n",
      "    (PP (P in) (NP (Det my) (N pajamas)))))\n",
      "(S\n",
      "  (NP I)\n",
      "  (VP\n",
      "    (V shot)\n",
      "    (NP (Det an) (N elephant) (PP (P in) (NP (Det my) (N pajamas))))))\n"
     ]
    }
   ],
   "source": [
    "sent = ['I', 'shot', 'an', 'elephant', 'in', 'my', 'pajamas']\n",
    "parser = nltk.ChartParser(groucho_grammar)\n",
    "for tree in parser.parse(sent):\n",
    "    print(tree)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5ae74a4",
   "metadata": {},
   "source": [
    "程序产生两个括号括起的结构，我们可以用树来表示它们，如[(3b)](https://usyiyi.github.io/nlp-py-2e-zh/8.html#ex-elephant)所示："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "5a22304b",
   "metadata": {},
   "outputs": [],
   "source": [
    "grammar1 = nltk.CFG.fromstring(\"\"\"\n",
    "  S -> NP VP\n",
    "  VP -> V NP | V NP PP\n",
    "  PP -> P NP\n",
    "  V -> \"saw\" | \"ate\" | \"walked\"\n",
    "  NP -> \"John\" | \"Mary\" | \"Bob\" | Det N | Det N PP\n",
    "  Det -> \"a\" | \"an\" | \"the\" | \"my\"\n",
    "  N -> \"man\" | \"dog\" | \"cat\" | \"telescope\" | \"park\"\n",
    "  P -> \"in\" | \"on\" | \"by\" | \"with\"\n",
    "  \"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "311af827",
   "metadata": {},
   "source": [
    "在[3.1](https://usyiyi.github.io/nlp-py-2e-zh/8.html#code-cfg1)中的语法包含涉及各种句法类型的产生式，如在[3.1](https://usyiyi.github.io/nlp-py-2e-zh/8.html#tab-syncat)中所列出的。\n",
    "\n",
    "表 3.1：\n",
    "\n",
    "句法类型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "570978bb",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(S (NP Mary) (VP (V saw) (NP Bob)))\n"
     ]
    }
   ],
   "source": [
    "grammar1 = nltk.data.load('mygrammar.cfg')\n",
    "# 要执行上一行代码，请到仓库下载 mygrammar.cfg 文件放到当前目录\n",
    "# 或者注释掉上一行代码直接使用上一个代码块的 grammar1\n",
    "sent = \"Mary saw Bob\".split()\n",
    "rd_parser = nltk.RecursiveDescentParser(grammar1)\n",
    "for tree in rd_parser.parse(sent):\n",
    "     print(tree)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b40333b2",
   "metadata": {},
   "source": [
    "确保你的文件名后缀为`.cfg`，并且字符串`'file:mygrammar.cfg'`中间没有空格符。如果命令`print(tree)`没有产生任何输出，这可能是因为你的句子`sent`并不符合你的语法。在这种情况下，可以将分析器的跟踪设置打开：`rd_parser = nltk.RecursiveDescentParser(grammar1, trace=2)`。你还可以查看当前使用的语法中的产生式，使用命令`for p in grammar1.productions(): print(p)`。\n",
    "\n",
    "当你编写CFG在NLTK中分析时，你不能将语法类型与词汇项目一起写在同一个产生式的右侧。因此，产生式`PP -> 'of' NP`是不允许的。另外，你不得在产生式右侧仿制多个词的词汇项。因此，不能写成`NP -> 'New York'`，而要写成类似`NP -> 'New_York'`这样的。\n",
    "\n",
    "<a id=\"3\"></a>\n",
    "\n",
    "## 3.3 句法结构中的递归\n",
    "\n",
    "一个语法被认为是递归的，如果语法类型出现在产生式左侧也出现在右侧，如[3.3](https://usyiyi.github.io/nlp-py-2e-zh/8.html#code-cfg2)所示。产生式`Nom -> Adj Nom`（其中`Nom`是名词性的类别）包含`Nom`类型的直接递归，而`S`上的间接递归来自于两个产生式的组合`S -> NP VP`和`VP -> V S`。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1b6a3b50",
   "metadata": {},
   "outputs": [],
   "source": [
    "grammar2 = nltk.CFG.fromstring(\"\"\"\n",
    "  S  -> NP VP\n",
    "  NP -> Det Nom | PropN\n",
    "  Nom -> Adj Nom | N\n",
    "  VP -> V Adj | V NP | V S | V NP PP\n",
    "  PP -> P NP\n",
    "  PropN -> 'Buster' | 'Chatterer' | 'Joe'\n",
    "  Det -> 'the' | 'a'\n",
    "  N -> 'bear' | 'squirrel' | 'tree' | 'fish' | 'log'\n",
    "  Adj  -> 'angry' | 'frightened' |  'little' | 'tall'\n",
    "  V ->  'chased'  | 'saw' | 'said' | 'thought' | 'was' | 'put'\n",
    "  P -> 'on'\n",
    "  \"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87650fe6",
   "metadata": {},
   "source": [
    "要看递归如何从这个语法产生，思考下面的树。[(10a)](https://usyiyi.github.io/nlp-py-2e-zh/8.html#ex-recnominals)包括嵌套的名词短语，而[(10b)](https://usyiyi.github.io/nlp-py-2e-zh/8.html#ex-recsentences)包含嵌套的句子。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f99c57bc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(S (NP Mary) (VP (V saw) (NP (Det a) (N dog))))\n"
     ]
    }
   ],
   "source": [
    "rd_parser = nltk.RecursiveDescentParser(grammar1)\n",
    "sent = 'Mary saw a dog'.split()\n",
    "for tree in rd_parser.parse(sent):\n",
    "    print(tree)"
   ]
  },
  {
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"
    }
   },
   "cell_type": "markdown",
   "id": "624ebe3a",
   "metadata": {},
   "source": [
    "注意\n",
    "\n",
    "`RecursiveDescentParser()`接受一个可选的参数`trace`。如果`trace`大于零，则分析器将报告它解析一个文本的步骤。\n",
    "\n",
    "递归下降分析有三个主要的缺点。首先，左递归产生式，如`NP -> NP PP`会进入死循环。第二，分析器浪费了很多时间处理不符合输入句子的词和结构。第三，回溯过程中可能会丢弃分析过的成分，它们将需要在之后再次重建。例如，从`VP -> V NP`上回溯将放弃为`NP`创建的子树。如果分析器之后处理`VP -> V NP PP`，那么`NP`子树必须重新创建。\n",
    "\n",
    "递归下降分析是一种自上而下分析。自上而下分析器在检查输入之前先使用文法*预测*输入将是什么！然而，由于输入对分析器一直是可用的，从一开始就考虑输入的句子会是更明智的做法。这种方法被称为自下而上分析，在下一节中我们将看到一个例子。\n",
    "\n",
    "<a id=\"4\"></a>\n",
    "\n",
    "## 4.2 移进-归约分析\n",
    "\n",
    "一种简单的自下而上分析器是移进-归约分析器。与所有自下而上的分析器一样，移进-归约分析器尝试找到对应文法生产式*右侧*的词和短语的序列，用左侧的替换它们，直到整个句子归约为一个`S`。\n",
    "\n",
    "移位-规约分析器反复将下一个输入词推到堆栈（[4.1](https://usyiyi.github.io/nlp-py-2e-zh/4.html#sec-back-to-the-basics)）；这是移位操作。如果堆栈上的前*n*项，匹配一些产生式的右侧的*n*个项目，那么就把它们弹出栈，并把产生式左边的项目压入栈。这种替换前*n*项为一项的操作就是规约操作。此操作只适用于堆栈的顶部；规约栈中的项目必须在后面的项目被压入栈之前做。当所有的输入都使用过，堆栈中只剩余一个项目，也就是一颗分析树作为它的根的`S`节点时，分析器完成。移位-规约分析器通过上述过程建立一颗分析树。每次弹出堆栈*n*个项目，它就将它们组合成部分的分析树，然后将这压回推栈。我们可以使用图形化示范`nltk.app.srparser()`看到移位-规约分析算法步骤。执行此分析器的六个阶段，如[4.2](https://usyiyi.github.io/nlp-py-2e-zh/8.html#fig-srparser1-6)所示。\n",
    "\n",
    "![56cee123595482cf3edaef089cb9a6a7.png](attachment:56cee123595482cf3edaef089cb9a6a7.png)\n",
    "\n",
    "图 4.2：移进-归约分析器的六个阶段：分析器一开始把输入的第一个词转移到堆栈；一旦堆栈顶端的项目与一个文法产生式的右侧匹配，就可以将它们用那个产生式的左侧替换；当所有输入都被使用过且堆栈中只有剩余一个项目`S`时，分析成功。\n",
    "\n",
    "NLTK中提供`ShiftReduceParser()`，移进-归约分析器的一个简单的实现。这个分析器不执行任何回溯，所以它不能保证一定能找到一个文本的解析，即使确实存在一个这样的解析。此外，它最多只会找到一个解析，即使有多个解析存在。我们可以提供一个可选的`trace`参数，控制分析器报告它分析一个文本的步骤的繁琐程度。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f7afe7dd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(S (NP Mary) (VP (V saw) (NP (Det a) (N dog))))\n"
     ]
    }
   ],
   "source": [
    "sr_parser = nltk.ShiftReduceParser(grammar1)\n",
    "sent = 'Mary saw a dog'.split()\n",
    "for tree in sr_parser.parse(sent):\n",
    "    print(tree)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6df4d97",
   "metadata": {},
   "source": [
    "注意\n",
    "\n",
    "**轮到你来：** 以跟踪模式运行上述分析器，看看序列的移进和规约操作，使用`sr_parse = nltk.ShiftReduceParser(grammar1, trace=2)`。\n",
    "\n",
    "移进-规约分析器可能会到达一个死胡同，而不能找到任何解析，即使输入的句子是符合语法的。这种情况发生时，没有剩余的输入，而堆栈包含不能被规约到一个`S`的项目。问题出现的原因是较早前做出的选择不能被分析器撤销（虽然图形演示中用户可以撤消它们的选择）。分析器可以做两种选择：（a）当有多种规约可能时选择哪个规约（b）当移进和规约都可以时选择哪个动作。\n",
    "\n",
    "移进-规约分析器可以改进执行策略来解决这些冲突。例如，它可以通过只有在不能规约时才移进，解决移进-规约冲突；它可以通过优先执行规约操作，解决规约-规约冲突；它可以从堆栈移除更多的项目。（一个通用的移进-规约分析器，是一个“超前LR 分析器”，普遍使用在编程语言编译器中。）\n",
    "\n",
    "移进-规约分析器相比递归下降分析器的好处是，它们只建立与输入中的词对应的结构。此外，每个结构它们只建立一次，例如`NP(Det(the), N(man))`只建立和压入栈一次，不管以后`VP -> V NP PP`规约或者`NP -> NP PP`规约会不会用到。\n",
    "\n",
    "## 4.3 左角落分析器\n",
    "\n",
    "递归下降分析器的问题之一是当它遇到一个左递归产生式时，会进入无限循环。这是因为它盲目应用文法产生式而不考虑实际输入的句子。左角落分析器是我们已经看到的自下而上与自上而下方法的混合体。\n",
    "\n",
    "语法`grammar1`允许我们对John saw Mary生成下面的分析："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ef958c2b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[V -> 'shot']"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "text = ['I', 'shot', 'an', 'elephant', 'in', 'my', 'pajamas']\n",
    "groucho_grammar.productions(rhs=text[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3174bad2",
   "metadata": {},
   "source": [
    "对于我们的WFST，我们用Python中的列表的咧表创建一个(n-1) × (n-1)的矩阵，在[4.4](https://usyiyi.github.io/nlp-py-2e-zh/8.html#code-wfst)中的函数`init_wfst()`中用每个标识符的词汇类型初始化它。我们还定义一个实用的函数`display()`来为我们精美的输出WFST。正如预期的那样，`V`在(1, 2)单元中。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6077a58d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "WFST 1    2    3    4    5    6    7   \n",
      "0    NP   .    .    .    .    .    .    \n",
      "1    .    V    .    .    .    .    .    \n",
      "2    .    .    Det  .    .    .    .    \n",
      "3    .    .    .    N    .    .    .    \n",
      "4    .    .    .    .    P    .    .    \n",
      "5    .    .    .    .    .    Det  .    \n",
      "6    .    .    .    .    .    .    N    \n"
     ]
    }
   ],
   "source": [
    "def init_wfst(tokens, grammar):\n",
    "    numtokens = len(tokens)\n",
    "    wfst = [[None for i in range(numtokens+1)] for j in range(numtokens+1)]\n",
    "    for i in range(numtokens):\n",
    "        productions = grammar.productions(rhs=tokens[i])\n",
    "        wfst[i][i+1] = productions[0].lhs()\n",
    "    return wfst\n",
    "\n",
    "def complete_wfst(wfst, tokens, grammar, trace=False):\n",
    "    index = dict((p.rhs(), p.lhs()) for p in grammar.productions())\n",
    "    numtokens = len(tokens)\n",
    "    for span in range(2, numtokens+1):\n",
    "        for start in range(numtokens+1-span):\n",
    "            end = start + span\n",
    "            for mid in range(start+1, end):\n",
    "                nt1, nt2 = wfst[start][mid], wfst[mid][end]\n",
    "                if nt1 and nt2 and (nt1,nt2) in index:\n",
    "                    wfst[start][end] = index[(nt1,nt2)]\n",
    "                    if trace:\n",
    "                        print(\"[%s] %3s [%s] %3s [%s] ==> [%s] %3s [%s]\" % \\\n",
    "                        (start, nt1, mid, nt2, end, start, index[(nt1,nt2)], end))\n",
    "    return wfst\n",
    "\n",
    "def display(wfst, tokens):\n",
    "    print('\\nWFST ' + ' '.join((\"%-4d\" % i) for i in range(1, len(wfst))))\n",
    "    for i in range(len(wfst)-1):\n",
    "        print(\"%d   \" % i, end=\" \")\n",
    "        for j in range(1, len(wfst)):\n",
    "            print(\"%-4s\" % (wfst[i][j] or '.'), end=\" \")\n",
    "        print()\n",
    "tokens = \"I shot an elephant in my pajamas\".split()\n",
    "wfst0 = init_wfst(tokens, groucho_grammar)\n",
    "display(wfst0, tokens)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc8eca60",
   "metadata": {},
   "source": [
    "回到我们的表格表示，假设对于词an我们有`Det`在(2, 3)单元，对以词elephant有`N`在(3, 4)单元，对于an elephant我们应该在(2, 4)放入什么？我们需要找到一个形如*A* → `Det N`的产生式。查询了文法，我们知道我们可以输入(0, 2)单元的`NP`。\n",
    "\n",
    "更一般的，我们可以在(i, j)输入*A*，如果有一个产生式*A* → *B* *C*，并且我们在(i, k)中找到非终结符*B*，在(k, j)中找到非终结符*C*。[4.4](https://usyiyi.github.io/nlp-py-2e-zh/8.html#code-wfst)中的程序使用此规则完成WFST。通过调用函数`complete_wfst()`时设置 `trace`为`True`，我们看到了显示WFST正在被创建的跟踪输出："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "7cad1dd8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2] Det [3]   N [4] ==> [2]  NP [4]\n",
      "[5] Det [6]   N [7] ==> [5]  NP [7]\n",
      "[1]   V [2]  NP [4] ==> [1]  VP [4]\n",
      "[4]   P [5]  NP [7] ==> [4]  PP [7]\n",
      "[0]  NP [1]  VP [4] ==> [0]   S [4]\n",
      "[1]  VP [4]  PP [7] ==> [1]  VP [7]\n",
      "[0]  NP [1]  VP [7] ==> [0]   S [7]\n"
     ]
    }
   ],
   "source": [
    "wfst1 = complete_wfst(wfst0, tokens, groucho_grammar, trace=True)"
   ]
  },
  {
   "attachments": {
    "eb630c6034e9ed7274ef2e04b9694347.png": {
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"
    }
   },
   "cell_type": "markdown",
   "id": "1f7ea40f",
   "metadata": {},
   "source": [
    "例如，由于我们在`wfst[2][3]`找到`Det`，在`wfst[3][4]`找到`N`，我们可以添加`NP`到`wfst[2][4]`。\n",
    "\n",
    "注意\n",
    "\n",
    "为了帮助我们更简便地通过产生式的右侧检索产生式，我们为语法创建一个索引。这是空间-时间权衡的一个例子：我们对语法做反向查找，每次我们想要通过右侧查找产生式时不必遍历整个产生式列表。\n",
    "\n",
    "![eb630c6034e9ed7274ef2e04b9694347.png](attachment:eb630c6034e9ed7274ef2e04b9694347.png)\n",
    "\n",
    "图 4.5：图数据结构：图中额外的边表示非终结符。\n",
    "\n",
    "我们得出结论，只要我们已经在(0, 7)单元构建了一个`S`节点，表明我们已经找到了一个涵盖了整个输入的句子，我们就为整个输入字符串找到了一个解析。最后的WFST状态如[4.5](https://usyiyi.github.io/nlp-py-2e-zh/8.html#fig-chart-positions2)所示。\n",
    "\n",
    "请注意，在这里我们没有使用任何内置的分析函数。我们已经从零开始实现了一个完整的初级图表分析器！\n",
    "\n",
    "WFST有几个缺点。首先，正如你可以看到的，WFST本身不是一个分析树，所以该技术严格地说是认识到一个句子被一个语法承认，而不是分析它。其次，它要求每个非词汇语法生产式是二元的。虽然可以将任意的CFG转换为这种形式，我们宁愿使用这种方法时没有这样的规定。第三，作为一个自下而上的语法，它潜在的存在浪费，它会在不符合文法的地方提出成分。\n",
    "\n",
    "最后，WFST并不能表示句子中的结构歧义（如两个动词短语的读取）。(1, 7)单元中的`VP`实际上被输入了两次，一次是读取`V NP`，一次是读取`VP PP` 。这是不同的假设，第二个会覆盖第一个（虽然如此，这并不重要，因为左侧是相同的。）图表分析器使用稍微更丰富的数据结构和一些有趣的算法来解决这些问题（详细情况参见本章末尾的进一步阅读一节）。\n",
    "\n",
    "注意\n",
    "\n",
    "**轮到你来：**尝试交互式图表分析器应用程序`nltk.app.chartparser()`。\n",
    "\n",
    "## 5 依存关系和依存文法\n",
    "\n",
    "短语结构文法是关于词和词序列如何结合起来形成句子成分的。一个独特的和互补的方式，依存语法，集中关注的是词与其他词之间的关系。依存关系是一个中心词与它的依赖之间的二元对称关系。一个句子的中心词通常是动词，所有其他词要么依赖于中心词，要么依赖路径与它联通。\n",
    "\n",
    "一个句子的中心词通常是动词，所有其他词要么依赖于中心词，要么依赖路径与它联通。[5.1](https://usyiyi.github.io/nlp-py-2e-zh/8.html#fig-depgraph0)显示一个依存关系图，箭头从中心词指出它们的依赖。\n"
   ]
  },
  {
   "attachments": {
    "ff868af58b8c1843c38287717b137f7c.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "9fd9748a",
   "metadata": {},
   "source": [
    "\n",
    "![ff868af58b8c1843c38287717b137f7c.png](attachment:ff868af58b8c1843c38287717b137f7c.png))\n",
    "\n",
    "图 5.1：依存结构：箭头从中心词指向它们的依赖；标签表示依赖的语法功能如：主语、宾语或修饰语。\n",
    "\n",
    "[5.1](https://usyiyi.github.io/nlp-py-2e-zh/8.html#fig-depgraph0)中的弧加了依赖与它的中心词之间的语法功能标签。例如，I是shot（这是整个句子的中心词）的`SBJ`（主语），in是一个`NMOD`（elephant的名词修饰语）。与短语结构语法相比，依存语法可以作为一种依存关系直接用来表示语法功能。\n",
    "\n",
    "下面是NLTK为依存语法编码的一种方式——注意它只能捕捉依存关系信息，不能指定依存关系类型："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "48d3d749",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dependency grammar with 7 productions\n",
      "  'shot' -> 'I'\n",
      "  'shot' -> 'elephant'\n",
      "  'shot' -> 'in'\n",
      "  'elephant' -> 'an'\n",
      "  'elephant' -> 'in'\n",
      "  'in' -> 'pajamas'\n",
      "  'pajamas' -> 'my'\n"
     ]
    }
   ],
   "source": [
    "groucho_dep_grammar = nltk.DependencyGrammar.fromstring(\"\"\"\n",
    "'shot' -> 'I' | 'elephant' | 'in'\n",
    "'elephant' -> 'an' | 'in'\n",
    "'in' -> 'pajamas'\n",
    "'pajamas' -> 'my'\n",
    "\"\"\")\n",
    "print(groucho_dep_grammar)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5da38cac",
   "metadata": {},
   "source": [
    "依存关系图是一个投影，当所有的词都按线性顺序书写，边可以在词上绘制而不会交叉。这等于是说一个词及其所有后代依赖（依赖及其依赖的依赖，等等）在句子中形成一个连续的词序列。[5.1](https://usyiyi.github.io/nlp-py-2e-zh/8.html#fig-depgraph0)是一个投影，我们可以使用投影依存关系分析器分析很多英语句子。下面的例子演示`groucho_dep_grammar`如何提供了一种替代的方法来捕捉附着歧义，我们之前在研究短语结构语法中遇到的。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "44535ae5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(shot I (elephant an (in (pajamas my))))\n",
      "(shot I (elephant an) (in (pajamas my)))\n"
     ]
    }
   ],
   "source": [
    "pdp = nltk.ProjectiveDependencyParser(groucho_dep_grammar)\n",
    "sent = 'I shot an elephant in my pajamas'.split()\n",
    "trees = pdp.parse(sent)\n",
    "for tree in trees:\n",
    "    print(tree)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df2dabde",
   "metadata": {},
   "source": [
    "这些括号括起来的依存关系结构也可以显示为树，依赖被作为它们的中心词的孩子。\n",
    "\n",
    "> VP -> TV NP\n",
    ">\n",
    "> TV -> 'chased' | 'saw'\n",
    "\n",
    "## 5.2 扩大规模\n",
    "\n",
    "到目前为止，我们只考虑了“玩具语法”，演示分析的关键环节的少量的语法。但有一个明显的问题就是这种做法是否可以扩大到覆盖自然语言的大型语料库。手工构建这样的一套产生式有多么困难？一般情况下，答案是：*非常困难*。即使我们允许自己使用各种形式化的工具，它们可以提供语法产生式更简洁的表示，保持对覆盖一种语言的主要成分所需要的众多产生式之间的复杂的相互作用的控制，仍然是极其困难的。换句话说，很难将语法模块化，每部分语法可以独立开发。反过来这意味着，在一个语言学家团队中分配编写语法的任务是很困难的。另一个困难是当语法扩展到包括更加广泛的成分时，适用于任何一个句子的分析的数量也相应增加。换句话说，歧义随着覆盖而增加。\n",
    "\n",
    "尽管存在这些问题，一些大的合作项目在为几种语言开发基于规则的语法上已取得了积极的和令人印象深刻的结果。例如，词汇功能语法（LFG）Pargram 项目、中心词驱动短语结构文法（HPSG）LinGO 矩阵框架和词汇化树邻接语法XTAG项目。\n",
    "\n",
    "## 6 语法开发\n",
    "\n",
    "分析器根据短语结构语法在句子上建立树。现在，我们上面给出的所有例子只涉及玩具语法包含少数的产生式。如果我们尝试扩大这种方法的规模来处理现实的语言语料库会发生什么？在本节中，我们将看到如何访问树库，并看看开发广泛覆盖的语法的挑战。\n",
    "\n",
    "<a href=\"#6.1-树库和语法\">6.1 树库和语法</a> \n",
    "\n",
    "<a href=\"#6.2-有害的歧义\">6.2 有害的歧义</a> \n",
    "\n",
    "vscode jupyter toc\n",
    "\n",
    "<a href=\"#61-树库和语法\">6.1 树库和语法</a> \n",
    "\n",
    "<a href=\"#62-有害的歧义\">6.2 有害的歧义</a> \n",
    "\n",
    "## 6.1 树库和语法\n",
    "\n",
    "`corpus`模块定义了`treebank`语料的阅读器，其中包含了宾州树库语料的10％的样本。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "3d63f1d9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(S\n",
      "  (NP-SBJ\n",
      "    (NP (NNP Pierre) (NNP Vinken))\n",
      "    (, ,)\n",
      "    (ADJP (NP (CD 61) (NNS years)) (JJ old))\n",
      "    (, ,))\n",
      "  (VP\n",
      "    (MD will)\n",
      "    (VP\n",
      "      (VB join)\n",
      "      (NP (DT the) (NN board))\n",
      "      (PP-CLR (IN as) (NP (DT a) (JJ nonexecutive) (NN director)))\n",
      "      (NP-TMP (NNP Nov.) (CD 29))))\n",
      "  (. .))\n"
     ]
    }
   ],
   "source": [
    "from nltk.corpus import treebank\n",
    "t = treebank.parsed_sents('wsj_0001.mrg')[0]\n",
    "print(t)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a247ca48",
   "metadata": {},
   "source": [
    "我们可以利用这些数据来帮助开发一个语法。例如，[6.1](https://usyiyi.github.io/nlp-py-2e-zh/8.html#code-sentential-complement)中的程序使用一个简单的过滤器找出带句子补语的动词。假设我们已经有一个形如`VP -> Vs S`的产生式，这个信息使我们能够识别那些包括在`Vs`的扩张中的特别的动词。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "eb7861ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "def filter(tree):\n",
    "    child_nodes = [child.label() for child in tree\n",
    "                   if isinstance(child, nltk.Tree)]\n",
    "    return  (tree.label() == 'VP') and ('S' in child_nodes)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7131d8d1",
   "metadata": {},
   "source": [
    "PP附着语料库`nltk.corpus.ppattach`是另一个有关特别动词配价的信息源。在这里，我们演示挖掘这个语料库的技术。它找出具有固定的介词和名词的介词短语对，其中介词短语附着到`VP`还是`NP`，由选择的动词决定。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "897048c9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "%-below-level N: ['left'] V: ['be']\n",
      "%-from-year N: ['was'] V: ['declined', 'dropped', 'fell', 'grew', 'increased', 'plunged', 'rose', 'was']\n",
      "%-in-August N: ['was'] V: ['climbed', 'fell', 'leaping', 'rising', 'rose']\n",
      "%-in-September N: ['increased'] V: ['climbed', 'declined', 'dropped', 'edged', 'fell', 'grew', 'plunged', 'rose', 'slipped']\n",
      "%-in-week N: ['declined'] V: ['was']\n",
      "%-to-% N: ['add', 'added', 'backed', 'be', 'cut', 'go', 'grow', 'increased', 'increasing', 'is', 'offer', 'plummet', 'reduce', 'rejected', 'rise', 'risen', 'shaved', 'wants', 'yield', 'zapping'] V: ['fell', 'rise', 'slipped']\n",
      "%-to-million N: ['declining'] V: ['advanced', 'climbed', 'cutting', 'declined', 'declining', 'dived', 'dropped', 'edged', 'fell', 'gained', 'grew', 'increased', 'jump', 'jumped', 'plunged', 'rising', 'rose', 'slid', 'slipped', 'soared', 'tumbled']\n",
      "1-to-21 N: ['dropped'] V: ['dropped']\n",
      "1-to-33 N: ['gained'] V: ['dropped', 'fell', 'jumped']\n",
      "1-to-4 N: ['added'] V: ['gained']\n",
      "1-to-47 N: ['jumped'] V: ['added', 'rose']\n",
      "1-to-point N: ['ended'] V: ['fell', 'rose']\n",
      "3-to-17 N: ['lost'] V: ['lost']\n",
      "500,000-in-fines N: ['paid'] V: ['paid']\n",
      "6.9-on-scale N: ['registered'] V: ['registered']\n",
      "access-to-AZT N: ['had'] V: ['had']\n",
      "access-to-arena N: ['permits'] V: ['lack']\n",
      "activity-in-part N: ['showed'] V: ['attributed']\n",
      "agreement-in-principle N: ['reached'] V: ['reached']\n",
      "agreement-with-Inc. N: ['announced', 'signed'] V: ['signed']\n",
      "agreement-with-creditors N: ['reached'] V: ['nearing']\n",
      "agreement-with-regulators N: ['presages', 'reach'] V: ['reach']\n",
      "aid-to-Contras N: ['renewing'] V: ['renewing']\n",
      "alliance-with-GM N: ['discussing', 'wrapping'] V: ['forge', 'have', 'negotiating']\n",
      "approval-for-drug N: ['granted'] V: ['obtain']\n",
      "attention-to-comments N: ['paid'] V: ['paid']\n",
      "attention-to-concerns N: ['pay'] V: ['show']\n",
      "attention-to-reports N: ['paid'] V: ['pay']\n",
      "bid-for-company N: ['fend', 'launch'] V: ['made', 'make']\n",
      "bid-for-million N: ['finance'] V: ['had']\n",
      "bids-for-company N: ['submitted'] V: ['solicit']\n",
      "billion-in-cash N: ['pay', 'raise'] V: ['raise']\n",
      "billion-of-bills N: ['sell', 'sold'] V: ['sold']\n",
      "billion-over-years N: ['total'] V: ['spent']\n",
      "billion-to-billion N: ['cause', 'place'] V: ['increased', 'rose']\n",
      "business-to-firms N: ['cutting'] V: ['give', 'transfer']\n",
      "business-with-them N: ['cease'] V: ['do']\n",
      "cap-on-amount N: ['eliminate'] V: ['places']\n",
      "cents-to-cents N: ['be', 'recovering'] V: ['fell', 'rose']\n",
      "change-in-earnings N: ['had'] V: ['had']\n",
      "changes-for-% N: ['measures'] V: ['measures', 'monitors']\n",
      "charge-in-quarter N: ['took'] V: ['had', 'included', 'incur', 'take', 'took']\n",
      "collar-on-trading N: ['re-establishing'] V: ['reinstating']\n",
      "commitments-from-banks N: ['secured', 'won'] V: ['obtained']\n",
      "competition-from-competitors N: ['faced'] V: ['fend']\n",
      "competition-in-production N: ['reduce'] V: ['reduce']\n",
      "contract-for-parts N: ['awarded', 'given', 'won'] V: ['received']\n",
      "contract-for-support N: ['awarded', 'issued'] V: ['received']\n",
      "contract-from-Co. N: ['received'] V: ['won']\n",
      "contract-with-Warner N: ['violates'] V: ['terminate']\n",
      "control-of-Inc. N: ['took'] V: ['seek']\n",
      "decline-for-quarter N: ['posted'] V: ['reported']\n",
      "decline-in-August N: ['followed', 'following', 'recorded'] V: ['following']\n",
      "decline-in-earnings N: ['alleviate', 'report', 'reported'] V: ['expects']\n",
      "declines-in-prices N: ['reflect'] V: ['had']\n",
      "disputes-with-company N: ['resolve'] V: ['resolve']\n",
      "domestic-production-through-July N: ['includes'] V: ['includes']\n",
      "drop-in-earnings N: ['posted'] V: ['posted']\n",
      "drop-in-profit N: ['experienced', 'had', 'posted', 'reported', 'reporting'] V: ['posted']\n",
      "earnings-for-companies N: ['reported'] V: ['reported']\n",
      "earnings-for-quarter N: ['posting'] V: ['posted', 'report', 'reported']\n",
      "earnings-in-quarter N: ['projecting'] V: ['had']\n",
      "earnings-of-million N: ['had', 'include', 'posted', 'reported'] V: ['reported']\n",
      "effect-on-market N: ['had'] V: ['had']\n",
      "emphasis-on-quality N: ['be'] V: ['place']\n",
      "financing-for-buy-out N: ['deliver', 'get'] V: ['obtaining']\n",
      "floor-for-price N: ['establishes'] V: ['providing']\n",
      "foot-in-door N: ['wanted'] V: ['getting']\n",
      "funding-for-abortion N: ['supporting'] V: ['oppose']\n",
      "funds-for-station N: ['including', 'providing'] V: ['includes']\n",
      "gain-from-sale N: ['included', 'includes'] V: ['a-Includes', 'including', 'record', 'report']\n",
      "gain-in-profit N: ['posted', 'reported'] V: ['posted']\n",
      "head-to-head N: ['going'] V: ['go']\n",
      "impact-on-market N: ['have'] V: ['has', 'have']\n",
      "impact-on-markets N: ['had'] V: ['have']\n",
      "impact-on-results N: ['have'] V: ['have']\n",
      "income-for-quarter N: ['announcing'] V: ['report']\n",
      "increase-in-earnings N: ['reported'] V: ['posted']\n",
      "information-from-companies N: ['requested'] V: ['steal']\n",
      "inquiry-into-activities N: ['conducted'] V: ['drop']\n",
      "interest-in-company N: ['bought', 'have', 'holds', 'owning', 'retain'] V: ['represent']\n",
      "interest-in-metals N: ['create'] V: ['was']\n",
      "interest-on-loans N: ['computing'] V: ['pay']\n",
      "loans-to-China N: ['suspended'] V: ['resuming']\n",
      "loss-for-quarter N: ['announced', 'have', 'post', 'posted', 'reported', 'reporting'] V: ['post', 'report', 'reported']\n",
      "loss-in-quarter N: ['expect', 'had'] V: ['caused', 'had', 'posted', 'took']\n",
      "losses-in-years N: ['reported'] V: ['had']\n",
      "markets-in-stocks N: ['making'] V: ['make']\n",
      "million-before-tax N: ['reported'] V: ['contributed']\n",
      "million-for-initiative N: ['attached'] V: ['add']\n",
      "million-for-stake N: ['pay'] V: ['paid', 'pay', 'putting']\n",
      "million-from-funds N: ['commit'] V: ['raises']\n",
      "million-from-operations N: ['included'] V: ['reported']\n",
      "million-from-sale N: ['including'] V: ['take']\n",
      "million-in-payments N: ['make', 'owes', 'pay', 'receive'] V: ['fallen']\n",
      "million-of-debt N: ['add', 'borrow', 'consolidate', 'convert', 'downgraded', 'includes', 'pay', 'raise'] V: ['assume']\n",
      "million-on-revenue N: ['earned'] V: ['earned', 'was', 'were']\n",
      "million-on-sales N: ['earned'] V: ['earned', 'reach', 'totaled', 'was', 'were']\n",
      "million-to-million N: ['be', 'bills', 'cost', 'pump', 'sell', 'totaled'] V: ['declined', 'fell', 'spend', 'tumbled']\n",
      "month-in-time N: ['delivered'] V: ['delivered']\n",
      "net-on-revenue N: ['posted'] V: ['reported']\n",
      "nothing-about-it N: ['knew'] V: ['doing']\n",
      "offer-for-all N: ['begun', 'make'] V: ['begin']\n",
      "offer-for-shares N: ['began', 'extended'] V: ['launched', 'made']\n",
      "offer-for-stock N: ['extended'] V: ['make']\n",
      "offer-from-group N: ['rejected'] V: ['received']\n",
      "office-in-Worth N: ['Call'] V: ['has']\n",
      "pace-with-inflation N: ['keep', 'keeping'] V: ['keep']\n",
      "payment-on-million N: ['make'] V: ['make']\n",
      "payments-on-debt N: ['cover', 'make'] V: ['make']\n",
      "president-in-charge N: ['is', 'named'] V: ['been']\n",
      "pressure-on-government N: ['keep'] V: ['keep', 'put']\n",
      "pressure-on-prices N: ['suffered'] V: ['keep', 'put']\n",
      "price-for-incentives N: ['paid'] V: ['paid']\n",
      "prices-on-market N: ['push'] V: ['bring']\n",
      "profit-for-year N: ['report'] V: ['report']\n",
      "profit-from-discontinued N: ['had'] V: ['was']\n",
      "profit-in-quarter N: ['indicates'] V: ['produce', 'recorded']\n",
      "projections-for-year N: ['slashed'] V: ['exceed']\n",
      "provisions-for-loans N: ['taken'] V: ['made']\n",
      "rates-to-% N: ['boosting'] V: ['increase', 'pushed', 'raised']\n",
      "reporter-in-bureau N: ['is'] V: ['is']\n",
      "restrictions-on-use N: ['waiving'] V: ['impose']\n",
      "revenue-for-year N: ['projected'] V: ['had']\n",
      "revenue-in-quarter N: ['expects'] V: ['had']\n",
      "sales-in-excess N: ['combined'] V: ['had']\n",
      "sales-in-quarter N: ['had'] V: ['increasing']\n",
      "sales-of-million N: ['expected', 'had', 'has', 'have', 'posted'] V: ['had']\n",
      "salvo-in-battle N: ['marking'] V: ['marking']\n",
      "services-for-customers N: ['offering'] V: ['provide']\n",
      "shareholder-in-bank N: ['become'] V: ['become']\n",
      "stake-in-Airlines N: ['acquiring', 'buy', 'raise'] V: ['buy']\n",
      "stake-in-Mixte N: ['bring'] V: ['boost']\n",
      "stake-in-Rally N: ['hold'] V: ['had']\n",
      "stake-in-company N: ['bought', 'building', 'built', 'buying', 'give', 'hold', 'obtaining', 'own', 'owns', 'raised', 'take'] V: ['accumulating', 'had', 'has', 'holds', 'own']\n",
      "stake-in-concern N: ['acquires', 'lowered'] V: ['retaining']\n",
      "stake-in-unit N: ['sell'] V: ['acquire']\n",
      "stake-in-venture N: ['has', 'hold', 'holds'] V: ['held']\n",
      "suit-against-Keating N: ['press'] V: ['brought']\n",
      "swings-in-market N: ['cause', 'create'] V: ['cause']\n",
      "system-for-city N: ['design'] V: ['design']\n",
      "system-in-Pakistan N: ['operate'] V: ['operate']\n",
      "time-for-Congress N: ['is'] V: ['buy', 'buys']\n",
      "venture-with-Co. N: ['started'] V: ['started']\n",
      "ventures-with-companies N: ['established'] V: ['form']\n",
      "verdict-in-case N: ['is', 'won'] V: ['won']\n",
      "volatility-in-stocks N: ['ignoring'] V: ['see']\n",
      "vote-on-issue N: ['allow'] V: ['prevent']\n",
      "way-for-declines N: ['open'] V: ['pave']\n",
      "writer-in-York N: ['is'] V: ['is']\n",
      "yen-to-yen N: ['shed'] V: ['advanced', 'fell', 'gained', 'lost', 'rose']\n"
     ]
    }
   ],
   "source": [
    "from collections import defaultdict\n",
    "entries = nltk.corpus.ppattach.attachments('training')\n",
    "table = defaultdict(lambda: defaultdict(set))\n",
    "for entry in entries:\n",
    "    key = entry.noun1 + '-' + entry.prep + '-' + entry.noun2\n",
    "    table[key][entry.attachment].add(entry.verb)\n",
    "...\n",
    "for key in sorted(table):\n",
    "    if len(table[key]) > 1:\n",
    "        print(key, 'N:', sorted(table[key]['N']), 'V:', sorted(table[key]['V']))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e48b8466",
   "metadata": {},
   "source": [
    "这个程序的输出行中我们发现`offer-from-group N: ['rejected'] V: ['received']`，这表示received期望一个单独的`PP`附着到`VP`而rejected不是的。和以前一样，我们可以使用此信息来帮助构建语法。\n",
    "\n",
    "NLTK语料库收集了来自PE08跨框架跨领域分析器评估共享任务的数据。一个更大的文法集合已准备好用于比较不同的分析器，它可以通过下载`large_grammars`包获得（如`python -m nltk.downloader large_grammars`）。\n",
    "\n",
    "NLTK语料库也收集了*中央研究院树库语料*，包括10,000句已分析的句子，来自*现代汉语中央研究院平衡语料库*。让我们加载并显示这个语料库中的一棵树。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "86915035",
   "metadata": {},
   "outputs": [],
   "source": [
    "nltk.corpus.sinica_treebank.parsed_sents()[3450].draw()               "
   ]
  },
  {
   "attachments": {
    "10a910dd6de117ab7a0ab352519f7297.png": {
     "image/png": 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QLAC6ICwgHCCCILwgfF4DOXumj8+v2T6vN3+uw6+Qvi+u/+0BPd8W9wLYt7DcvraDHYCxt6H7scjfHT4vIwDf8/hfh9Drq5H9+aWGsxv++ceD/+VgczH1+EpFC9s6eDpZmlu4EMj7nxymBMK2dh0eVxdTJ2oCSRtjGmoCJgYG/jxHnv8Bbi6m0A+2NekAAHfOSURBVHja7d13fFPV/8fxd9KVDtpSyix7U7ayBZkqQxGZiltcKO6tX/dePyei4kRRcYNsRBzsvTeUQhkt3Xul+f3REprutGnTpq/n48GD3pt7b+69SW9z3znncwwqYODAgRePGTPmiv79+w8IDQ0NDQwMDBQAAAAAAABqjfj4+Pi9e/fuXbdu3dpFixb9sXr16n/zP24490OzZs1a3HnnnXffdttt0319ff3MZrMsFouz9x8AAAAAAABOYDAY5ObmppSUlOTZs2fP+vjjj2eeOHEiXMoLlJo2bdr8mWeeeXHq1Kk35OTk6Nw/i8VCqAQAAAAAAFDLGAwGGQwGGY1G67/vvvtuzgsvvPB0RETEcXdJuuOOO2ZMnTr1hnPh0bkVAAAAAAAAUHsZDLmd2ywWi6ZOnXpDZGRk5NNPP/2oYejQoZd89913v/r6+vqV1iIpPDxcu3bt0tGjR3Xq1ClJUpMmTdS6dWt17dpVLVq0sHvHaso2AQAAAAAAaqtzLZZSUlKSr7nmmqsML7zwwpv33nvvw6V1cVu9erX27Nkjf39/hYSEKCAgQJKUkJCgU6dOKSEhQZ07d9bAgQPLvDM1ZZsAAKAmytSBv//QbnXSFUNC5Zl//p9/6HSzoRrSIUixB1Zr2W7psisHKsj9/NrRe//Wih0x8vSU5OEhHw8PZWVlKSsrS8rMVED3SzSkSbwW/7ZXoVeOVtu8lVMitmnBiqO64Mor1SH/BgEAAGqw/F3g3n///bfce/XqNaAsYdKGDRvUqVMndezYUfXr15e3t7ckKS0tTU2bNtX+/fu1YcMGGQwGXXTRRaXuSE3ZJgAAqLmSTu/Qjn075NP4QY3qEHh+/sEd2msaoCEdpKykE9q3I12DrhiooHzruvsGqVkrk0zu7ko/e0jL1+1To17D1KeFn7Kz0+Xj66WctHhtDtusBhmXqK3cpZSj+vHT3xTW/1pNIkwCAAAu5FxmlJOTo169eg1wDw0NDTUajTIYDEUGSue6j7Vq1UqtWrVS3bp15eXlZX3cZDKpbt26atWqldLT07Vz5061atVKzZs3L3Ynaso2AQBATWaWp9Eoo1Ha8P0y9XjqWjXzzp3v5meUn5eb3N3d5e5mlNHoI083d7nny4CC21ygIW1yf84566k/NxxQ/4uGqHfD8wtlRLrJaDTKzc1b7u5pWvXmHIU3uURPXNFZJmcfPgAAgIOdy45CQ0NDjYGBgYGSim2ddPToUfn4+CgkJEQeHh7KyMhQUlKSEhISrP8yMjLk4eGhJk2ayMfHR0eOHClxB2rKNgEAQA1n/W5pnz5ZvkfZ5dxMVo5ZkpRtzir6aTwyFL7qa61Ua91y81DVcfZxAwAAVIJz2VFgYGCge3Z2yR+twsLC1LhxY/n6+spoNOrc8vlbNGVnZ8vNzU1+fn5q1KiRwsLCNGjQoBq/TQAAUJOZlRmXow6X36COp+botw1z9XeXxzSkhZfM5hyZzWZlZ2cr25yjnBzJbM5WcR+LzNlm5eTk5C2TXWj+6qXf6cy+Uxp9+2Nq7lX8dgAAAFyFsbQFMjMzFRgYKB8fH5lMJnl5eclkMsnb21s+Pj7y9va2zvfz81NQUFBusUoX2CYAAKj50hWoniNvVytJf32+UrE5yleg2zHO7AuTJNUN8Hb24QIAAFQJd3f3kgtG1qlTR3Xq1JGfn59MJpPc3d3l4eEhozE3i7JYLMrOzlZmZqYyMjKUnp4uPz8/lbTdmrJNAABQk5nl5maUmyVH7j4tNenmoXrr63+0Yk1btfYxys0tfw0lya1ADSWbLbmfq5XkbvPZ4dz8MTfeqORlX+v7txfoticmqoWvs48dAACgcpXaQqlBgwYyGo3y9PS0tvo59/O5f56entb5RqNRDRo0cIltAgAA1xHYbqiu6S3tW/mjFu2TvAqGR27l37a7fxtdMu02ddJ2zX51vk5lOPtoAQAAKlepNZTq1aun9PR0SZKbm5vc3Nzk4eEhN7fcT105OTnW/w0Gg9LT01WvXj2VtN2ask0AAFCTmWU25yg5r1aSJHW45A513TBLOyTlZJyroeSunJwdOn70hCzeUu4nBqP86zeUb17oVFoNpYzMFGV7hGjCvZP16bs/6MPnvXTvMyMUTENoAADgokptodSkSROlpaVZwxpPT09rVzKj0Sh3d3d5enrKzc1N6enpSktLU0hIiEtsEwAA1Hx1vfJ93PFsrNG3j8790T1vfl7LpAVfzdLMWbM0a9YszZo1U7vOZhbalpfRthmTMe+LK/e8+e5Bobp5+lVqpH/1/jfrleLsgwcAAKgkhvj4eEtJCxiNRu3atUtJSUlq3769goKCbGoT5eTkKDs7W0lJSdq/f798fHzUpUsXa4ugmrxNAAAAAAAAFFZqoCRJ7u7u2rp1q9LS0uTv76/g4GD5+fnJYDAoOTlZcXFxSkhIkKenp3r27Cmz2VzqE9eUbQIAAAAAAMCWITo6utRASZI8PDwUFRWliIgIWSwWJSUlyWAwKDAwUBaLRU2aNFGDBg2UlZVV5ievKdsEAAAAAADAeWUOlKTzxa4tFosyMnKHL3F3zx0+12w2l6vFT03ZJgAAAAAAAHKVqctbkSsaDJIki6Vcq9fobQIAAAAAANRm5R7MtjICmpqyTQAAAAAAgNrM/bPPPnP2PgAAAAAAAKAGMVhowgMAAAAAAFDrLFu2TCaTSSaTSb6+vjKZTPL29paXl5c8PT3l4eEhd3d3GQwGGQwGmc1mZWVlKSsrS0Zn7zwAAAAAAABqFgIlAAAAAAAA2IVACQAAAAAAAHYhUAIAAAAAAIBdCJQAAAAAAABgFwIlAAAAAAAA2IVACQAAAAAAAHYhUAIAAAAAAIBdCJQAAAAAAABgFwIlAAAAAAAA2IVACQAAAAAAAHYhUAIAAAAAAIBdCJQAAAAAAABgFwIlAAAAAAAA2IVACQAAAAAAAHYhUAIAAAAAAIBdCJQAAAAAAABgFwIlAAAAAAAA2IVACQAAAAAAAHYhUAIAAAAAAIBdCJQAAAAAAABgFwIlAAAAAAAA2MXd2TsAAFUlOS1TJ88m2sxr1biuPD3cil3HbM7R4ZOxNvOaNQiQj8lDknQ8MkFpGVklPm+9AB8FB/g4+/ABAAAAwGEIlADUGpGxyep440ybeT8/N0kTBocWu86/O8M17ME51mk3o0ERPz1oDZSuefFnrd0TUepzB/h6qWPzYD04qb8mD+3s7FMBAAAAABVClzcAtUabkCBd2L6xzbzFGw6VuM7i9baPD+7eQo2C/Ox+7oSUDG3Yd1JTXvhZF834XClpmc4+HQAAAABQbgRKAGqVKQVaBy3deLjE5QsGTlOGdqnwPqzdE6GHZy139qkAAAAAgHKjyxuAWmXSkM569JM/rdOnYpK14/AZdW/bqNCy4WfitTc82jrtbjRowsWdStz+LaN66JJebazTcUlpWr7piFZuDVNSvlZJH/+xRXeN662urRs6+5QAAAAAgN0IlADUKi0bBapvpxBt2HfSOm/JxsNFBkoFWyeNuLC16pVSXLtXhya6ephtK6bpV/ZWZGyyutz8kaIT06zztxw8TaAEAAAAoEaiyxuAWmfyENtub0uKqaNUsH7SlGHl7+7WMMhPo/q2s5m3/3h0ObcGAAAAAM5FoASg1pk0JFSGfNNrd59QQnK6zTIZmdn6a1uYddrT3ahxAztW6Hnr1jHZTMfma60EAAAAADUJgRKAWqdZgwD179zUOp2dY9GKLUdtlvl7+zGlZmRbp0f2aatAP1OZn6Mou45G2Uy3DQly9qkAAAAAgHIhUAJQK5XW7W1JgdHfKjK6W2Rssl7/brVWbT9mM799s3rOPg0AAAAAUC4U5QZQK00cHKoHZi6TJW96aYEAKX/9JG9Pd429qEOZtvvhbxs1f80B63RcUpo2HzilHIvtcgG+Xuof2rRM2wQAAACA6oZACUCtFFLfXwO7Ntd/u45Lkk7FJGvH4TPq3raRDp+M1aGTsdZlx/RrJz9vzzJtd294tPaGl15s+70ZI9UwyM/ZpwEAAAAAyoUubwBqrSlDC3R7y2ul5MjR3QpqEOijd+6+TDeO7OHswwcAAACAcqOFEoBaa8LgUN37wRJrd7TF6w/p8akDtThfPSU/k4fG9GtX5m22CwlSk+A61mmDpEZBfmrZKFDtm9XT5CGd5VvG1k4AAAAAUF0RKAGotRoF+Wlw95bWYtnr9pzQqegk/ZOvePYVAzrI28ujzNt8YFI/Tb+yt7MPDQAAAAAqFV3eANRqk/N1e8vOsejJz1YqPctsnXe1A7u7AQAAAICrIFACUKuNH9RJbkaDdXrOsh3WnwN8vXRZ7zbO3kUAAAAAqHYIlADUag3q+mpoj5bWaUu+x8YN7CgvT3oGAwAAAEBBBEoAar3JBUZ7O4fubgAAAABQNAIlALXe+EGd5J6v25sk1fP31ogLWzt71wAAAACgWiJQAlDr1Qvw0fAC4dH4QZ3k7sYlEgAAAACKYrBYLJaKbwYAAAAAAAA1ybJly2QymWQymeTr6yuTySRvb295eXnJ09NTHh4ecnd3l8FgkMFgkNlsVlZWlrKysmihBAAAAAAAAPsQKAEAAAAAAMAuBEoAAAAAAACwC4ESAAAAAAAA7OLu7B0AgOrGMHRopW3bsmqVsw8PAAAAACqMQAlArVOZgVFlPTdBFAAAAIDqhEAJgMtxZmBUnY6JEAoAAABAZSFQAlDjODswsqxaVeQ+lBbgVPV+0xoKAAAAQGUxWCwWi7N3AgDyc3ZgVJyCQUt5QiVXOh9VcewAAAAAKs+yZctkMplkMpnk6+srk8kkb29veXl5ydPTUx4eHnJ3d5fBYJDBYJDZbFZWVpaysrIIlABUveoUkOQPQUrar+LCkqoKlexVnc5xSarDuQIAAABqKwIlANVKdQ4zigowyhMklbZ+TQ1KqvNrl19NPb8AAABAdUKgBKBKVUXoUFydInu3Ud7jsDewcKVQqTxqQhBVm14PAAAAoCwIlAA4VFUFRo58XnvCAkcGSWXZNkFG0WpCCCXx+gEAAMB1ESgBsIuzAiNH7UNFbvArM0wq6TkIJRyHIAoAAABwDAIlADaqQ2DkyP1xxI15VQRJpT0fAYPzEEIBAAAAhREoAbVMdQuMHLlvjr6hruogqbTnJjCoWQiiAAAA4MoIlAAXU50DI0fua2XeBDszSCptP7j5d301IYjifQgAAAACJaCGqUmBkaP229khjjP2o6T94WYeBdWEEErivQsAAOBKCJSAaqamBkaOPIbqEtw4c39K2zdn7xNcA0EUAAAAyotACahirhAYOfJ4nH2jWJ2DpNL2szrtH2oPQigAAABIBEqAw7laYOTI46tON3g1JUgqbZ+r674CBRFEAQAAuBYCJcBOrh4YOepYq8sx2Htc1Xm/i9v36r7PQEXUhCCK30EAAFAbESgBBdSmwMiRx10dj8meY6wJ+1/ScdSk/QcqW00IoSR+bwEAQM1GoIRap7YGRo48B9X9+Ow53pp2LCUdU009FqC6IIgCAAAoOwIluBwCo8JctetaRY67Jh9XScfnCscF1CSEUAAAoLYiUEKNQ2BUstoaHtlzHlz9OF3p+ABXRRAFAABqOgIlVDsERmVX27qulUVtCZLKctyufLxAbVUTgiiuPQAA1A4ESqhyBEblQ3hUstoaJJV2DmrLsQMoXk0IoSSuVwAA1DQESnA4AiPHoOta2RAk2SJUAuAoBFEAAKAkBEqwG4GR4xEelQ9hUtEIlQA4CyEUAAC1B4ESbFTVB8Ha/EGOrmsVR5BUOkIlADUJQRQAADUPgVItQ2BUtQiPHIsgyT6ESgBcHUEUAADOU5FAyd3ZOw/n4YOR43FOy4fzVjzLqlU15mYLAMqjPH8DuC4CAOB8tFCqocryQYqbdMehlYhj5T+fnMeyOXfOOF8AUH7lDaK49gIAXBVd3hzs8MlYmc051ul6AT4KDvApdvmYhFRFJ6RapxsG+SnQz2TXc8YmpikxNcM6HRzgIz9vT4ccT2p6lqLiU6zT/j5eCvL3rvTzWF2EnY5TZpa52McNBoMaBfnJ39fLYc9Zma9neSSnZerk2USbea0a15Wnh1ux65jNOTp8MtZmXrMGAfIxeRS7TlpGlvYeO6udRyN17Ey8gup4q3G9Orq4ews1CvJz2vFXZ458f6ZnZuvfHeHWaT9vTw3o0szZhwgATuPoz3THIxOUlpFV4nOW9hwAAFQndHlzsN53fKr4lPNhQGiLYO34fLrc3YxFLj/z90169qu/rdPv3zNS94zva9dzPv/133r/143W6S8eHaubR/V0yPEs23RY45/50Tp934S+enfGyKo4ldXCiIfm6Ojp+FKXqx/go7YhQbp2RFfddvmFJYYtpanM17M8ImOT1fHGmTbzfn5ukiYMDi12nX93hmvYg3Os025GgyJ+erDIQCk6IVX3vLdYP/2zV+acwhm1QdKALs30yq3DdXH3FiXu6x9rD+inv/fq8MlYRZxNVEhwHbVrWk9XDeqoqwZ1KvVYV+86rtW7jmv93gjtPBKpxvX81KFZsC7u3kI3XNpdRqPBaa9DURz5/jwTm6zLHv3WOt21VQPt/GK6sw8RAJzG0Z/prnnxZ63dE1Hq8wb4eqlj82A9OKm/Jg/t7OzTAABApTBWfBOub294tD5esNnZu4FKdjYhVev2RmjG+0vU4foPtP94tLN3yWHahATpwvaNbeYt3nCoxHUWr7d9fHAxrYx+/XefOt80Uz+s2lNkmCRJFklrdp/QkPu/0sOzlhe5TGp6lkY/Nldjn/pB36zYqXV7I3TibKLW7zupb1bs1PhnftRFMz5X+Jn4Yvf5pW/+1aB7v9QTs1dq/poDCjsTr7V7IvTl0u26+fX56jN9trYePO3sl6NcXPn9CQBVpao+0yWkZGjDvpOa8sLPumjG50pJy3T2oQMA4HAESmX03Fd/Ky4pzdm7gSpyLDJBwx/8WmGn45y9Kw4zpcA3pEs3Hi5x+YKB05ShXQot8/f2Y5rw7I+Kik9VWVgkvf3jOj2X79vfcx6etVxLStmntXsiNOm5n4rsIvbmD2v09Bcl17jYcvC0Ln3kG52JTXbYeXUGV3x/AkBVqerPdGv3RBT7ZQoAADUZXd7KKCYxTc9//U+t6irmql64eYjaNa1nnY5NTNPusCj9tzNcu4+dtc4/FZOsJ2ev1PfPTHT2LjvEpCGd9egnf9oc347DZ9S9baNCy4afidfe8PMtYNyNBk242La7WVa2WXe9s6jQundd2Utj+rVXtzYNdSIqQat3HdcLX/+j5PTzNSdenPOPJg0OVedWDSRJf20N06x83xg3rOur/11/sRoE+mreqt36Y+1BZeXVwNh04JQ+XbhFM67qY13+4IkYm2OTpAkXd9JFXZopJjFNHy/YrJjE3JuHmMQ03fbmAv3x6lRnvyRFqsj7s0Ggr359YbJ12t/HcXXBAMBVOPIz3S2jeuiSXm2s03FJaVq+6YhWbg1TUr5WSR//sUV3jeutrq0bOvvwAQBwGAIlO3z0+yZNH9tLHZoHV2g7UXEpOhWTpC6tGhTbh780MQmpOnwyVr7engoJrqO6dcpfZDvsdJy8PNzVJLiOXetFJ6Rq77GzatbAX60a163QOalKl/Rqo36hTQvNz8o26463F+rLpdut837+Z6/ePJuopvX9i92eI17PqtCyUaD6dgrRhn0nrfOWbDxcZKBUsHXSiAtbq16BAqNvzVurfcdtQ6fZj4zVTSN7WOc1re+v/p2bafygTupx68fWUCnHIj371d/6+fnc8GPR+oM22/7ufxM07IJWkqTJQzvrwZnL9M7P662Pr98bYRMofbdyl836j11zkV67fYR1euLgUPW87RPr9ML1hxSfnG538fyqUJH3p4/Jo0x1pgCgtnPUZ7peHZro6mG2LXinX9lbkbHJ6nLzR4pOPN8SasvB0wRKAACXQqBUCoMkD3ejMrNzlGXO0UOzlmthOVo2ZJtz9OTslZq3areOR+WOtlXH21PDLmilzx4ZW6ZthJ2O0z3vL9H6vRHW1hbnhLYI1rUjuume8X1UpwytEuKS0vTIxyu0YvMR6/40DvLTZb3b6P17RxW7jcwss575cpXmLNuh0/m6DQX7e6tXhya6a1xvXTGgQ5W8No7m4e6mzx8dq1XbwnQsMkGSlJ1j0Qe/btDrd1xis6wjXk9nmDyks22gtOGQHp86sNByBesnTSnwYTk5LVMvffOvzbypI7rahEn5tQkJ0vQre+vNeWut85ZvOqKcHIuMRoN2Hom0zvfxctdFBUYmu2Z4F5tA6eCJGJvHN+0/aTP9wMR+NtM92jZSaItgm1ZXu45GalC3kguEVydleX+eiEpQnztnW9fp1KK+/nrnRmfvOgBUC476TFcWDYP8NKpvO32zYqd1HrXvAACupvo2p6gmjEaD7s03usei9Ye0fNMRu7YRFZei4Q9+rTfnrbWGD5KUlJap+WsOaMj9X+l0TMk1XX5ctUfdp32sResPFQqTpNwik099/pcue+RbJeYbzaQoMQmpGv7gHH2+eJvN/pyOTdZXy3ao7/TPdCgiptB6+8LPqtcdn+r179fYhEmSFJ2YpqWbjmjsUz/U6DoBBoNB117SzWbegjUHbKYd8Xo6y6Qhoco/xtna3SeUkJxus0xGZrb+2hZmnfZ0N2rcwI42yxw8EaPUjGybeQ9O6l/icz80ub/un9DX+m/a6J5KSEnP26/Oeu224XrttuGa9cDl8vK0zbrTCjxX84YBNtPheQGLJPn7eKphEcXDL2zfxGY6rAwjq1U3pb0/zTkWnYlLsf7LP/Q1ANR2jvhMZ4+6dWxbwcYmUosTAOBaaKFUBk/fMFhzlu+wFh5+8KNl2vHZnXIrY/emu99dpH93Hi/28T3HzmpPvtooBUXFpWjaG/NtatAYDVJwgI/Oxqcq/7ha6/ZG6JW5/9l09yno2z93qST7jkfr+ld+0/qPbrXOM5tzdM2Lv2hXWJTNsl4ebsooUCD57R/XKbRFfd0yuqeDX4mq0b9Ad6PjUQk20xV9PZ2pWYMA9e/c1DrkcXaORSu2HNXEwaHWZf7efswmLBrZp22hrmEHTth+y9qmSd0iu87l1zDIT+8UU6/i9isuLHa9zCyz3s3XOkmSzf5K0uLXrlV2Xo2l4rodbjtkO7pby0aBlXuyK0lp708AQPEq+pnOHruO2n5mahsS5OzDBwDAoWihVAb+vl56+dbh1uk9x87qkz+2lGndHYfP6Jd/99nMG3dRB/3xyjVa8db1unlkD5k83Ercxtw/d9qESZf2aq3o+Y8q8rdHFL/wcT19/cU2y2/YG1H6Mfl46n/XDdLKt2/QF4+O1dAeLW23se+kFq47X9dm9qKt2pGvW1Joi2Btm32H0pY9pXUzp+naEV1t1n8rX9emmqZg65bUjGzF5LX0cMTr6WyTh9iO9rakQL2kgiOtFTW624ECXc6alVBjqjyyzTl6/NM/Ne2N+Qq9aaZ+W73f+tjU4V0K1ato3jBArZvUVesmdQu1XpKk7/7cZVPQ2svDTV1bN6iM01vpSnp/AgBKVpHPdGUVGZus179brVXbj9nMb9+sXvk2CABANUULpTK6ZVRPzfxto7bnhSrPfrlKU0d0LbWo75vz1tq0IBpxQSv98sIUGY25HY9GXNhavTo00d3vLS52G0dOxame//mi2y/eMsxahNvf10sPTe6vl7751/o8ZWkd8+Vj4zQ+36hd1wzvqn53fWYTGn3w6wZd3r+9JOnVuf/ZrP/6HZeoR16LlH6hTdW7QxP9s/2YIqKTJOW2ctq0/6R6dwyp8teqooILFJ+WcguQ1wvwccjr6WwTB4fqgZnLrMextECAlL9+krenu8ZeVLgm1oECdSCaOjhQyso26/Xv1xSa37VVA7tH5Vm1LUzT31loM+/ucb0rVMjemUp6fwIASlfez3RF+fC3jZqfr+txXFKaNh84pRyL7XIBvl6FWpgCAFDT0UKpjIxGg967Z5R1OjoxTS98/U+p6+04fMZm+qpBnazhwznTr+yl0BbFjzLy4X2jFT3/Ueu/Pp1yQ5rktEz9s/2Y7nl/iU3Ica7rT3F6d2hiEyZJksnTXc/dNMRm3rnikSlpmTa1gpo38Nfovu1slnVzMxbq4vZdKV3rqqtTeaFYfudahTji9XS2kPr+Gti1+fnjjUm2Htfhk7E6dDLW+tiYfu3k5+1ZaBsFuzmaPKsmm94VFqULb/+0yNeoKB/9vkkjH/1Wiannh25u26Sunrru4jKtXx2V9P4EAJSuvJ/pirI3PFrLNh2x/tu4v3CYJEnvzRjJtRoA4HJooWSHi7u30MSLO+nnvC5PH/62UXeO7VXiOsfOxNtMDynQtUzKLbTbo20jmxGoirI7LEpzV+zUpgOntPNIpM6Ws5tLx2KGyO1UYH7E2URlZpl1OF/AIOXe0Na94rVC6xcMsgp2i6op9hyzrXnga/KwfmvpyNfTmaYM7az/dp2vA7Vk42F1b9uo1NHdzilYB8LRdXy8PNz16wuTFZeUrg37IvTF4m3KzvuEfuJsoqa9MV9L3riu2PUTUzI07Y351t/Vc9o3DdKKt25QkH/NbJ0klfz+BACUTXk+05VHg0AfPXHtIN1YzCioAADUZARKdnpz+qVauO6g0rPMyjLn6OFZy9WrQ5Milz0bn2JT+yjQ10uhLesXuWxphRqf+WKVXiwwTPs5dbw9lZKeWeQ3YkVp17To52oTEiQ3o0HmvA3lWKTYpDSFFQhRsnMsNi0+ipOSXvoy1VHBLoMhwXUkOfb1dLYJg0N17wdLrO+ZxesP6fGpA7U4Xz0lP5OHxvRrV+T6Bd9DxyMdGygZjQZdNSi3Fd0to3vqmuFdNeKhOdb35tJNR7Qv/Kw6tSh8/sNOx2nM499pX4FueVde1EFznrhK/r5eVXuyHay49ycAwD72fKYrTruQIDXJdx02SGoU5KeWjQLVvlk9TR7SWb5FtPQFAMAVECjZqWWjQD00ZYBe/ja3ptAf6w4qvsCw6+d4eRQY+jwzWxaLRQaDodCyKfmCioLemre2UJjUpWV9XdanrfqFNtWIC1uryYS3lZaZrbIo7rkys8zWG3Ypd7j4BoG+hWq2tAsJUv/OpdcB6NCs+nb7Ksn6AkXN+3bKPVZHvZ7VQaMgPw3u3tJaMHTdnhM6FZ2kf/IVEL1iQAd5e3kUuX7BwOzwyViFn4lXixJGTtt68LQmPfejddrk6a6tn94ho9Fg8zvk7eVRqJvdkB4t1aNtI205eH6ktt1hUYUCpbW7T2jc/36wab1n8nDTm9Mv1Yyr+jj7tDtEce9PAIB97PlMV5wHJvXT9Ct7O/tQAABwCgKlcnhi6kB9uWSbTsUkS5JN1yFJsuRlMv6+XmpY11eRcSmScuvOHI9MKPKme//x4rtHzV54fvQRDzejlrx+rYZf2No6Lz0zWxlZZQuTJGlfeNFFuw9G2HZRa94gQEajQR0KjErStL6/vn7iqqo63VXqvZ/Xa8O+kzbzpuXVhnLU61ldTB7a2RooZedY9ORnK5WerzbS1cV0d5Okrq0byuThZl0+O8eiV+b+p08euqLYdd6at1ZHT8dbp6/o315enu7aeSRS3W/92Dr/qoEd9euLUwqt36ZJXZtAKalAK7lDETG65OE5Ss04/7vQuWV9/fDMRHVpVTNHdCuopPcnAMB+Zf1MBwAACqModzn4envq1dtGlGnZgmHMF0u2FVom7HRcoZG2zolJSNXBiPM1jLq3aWgTJkm5LTXK2t1Nyu3eVFQXpc8WbbWZ7px3E14/0FdBdc7XaNl84JRiE9MKrb/lwCl9tXS79d+2Q6dVU1gsFv255age/WSFzfx2IUEanK9OUkVfz+pk/KBOcstXUHzOsh3WnwN8vXRZ7zbFrhsc4KP7J/azmfflku2a99fuIpf/b2e4fvp7j828CXmF4Vs3qWszf2sR75ucHIu2FyiI3q1NQ+vPZnOObnjlN5swaUy/dto46zaXCJPK+v4EANjHns90AADAFi2Uyun6S7tp5u8btXH/qRKXu2lkD/278/y3Xa9/v0YdmwdrytAuMhoNOhQRo6uenmfT1Sy/gt3Y9h2PVlJqhur45NaBycwy69GPbW8yLaV8nZadY9GYx+fq1xenqF3TesrJseizRVv18YLNNsvdO76v9efL+7fXnOU7JUlJaZma/PxP+v7pCaof6Cspt6vR2Ke+V0y+oOmPV65Rz3aNnfciFeOzRVttAp8TUQlasuGwTscmF1r2mRsH20xX9PWsThrU9dXQHi3159YwSbIZKXDcwI7yKmXktieuHaQvlmxTVHxu97Isc46ufvEX/bUtTGMHdFDnVg0UdjpOf245qje+X2Mtqi1JoS2CNWlIZ0mSn7enLmzf2Nr6KDwyQU99tlIv3zpcUm7tqle+/c8mWA309bIJin78e4/W52u54+lu1IDOzQqFpPkN6tbc5d6fAAD7lfUzHQAAsEWgVE4Gg0HvzhipATO+KHG5Gy/roXd/Xq+dR3NHZsrIMmvqS7/qjrcXyt/XSydLGf68aX1/1fUzKS6vT39KepZGPTZXVw3sqK2HTmvR+kNKSMmwWafgaGtF2X3srNpf/6Ga1PNTUmqmktJsuw/17RSiYRe0sk6/O2OkVmw+ar2pXbk1TI3Gv6VeHZrobHxqocLdg7o21+i+7UrdD2f4fPG2Mi03bXRPXXdJN5t5FX09q5vJQztbA6X8Surudo6/r5devW2Epr25wGb+pwu36tOFxQc5fiYP/fLCFPmYztdnmnFVH938+nzr9CtzV+uzRVvVsXmw1u+NUGa27Xv6jTsvkSlf4DX3z102j2dm5+ipz/8qcf/fuvOSahkoVeT9CQCwX1k/0wEAAFt0eauA/p2b6doRXUtcxmg06LNHxqp+gcLWSWmZ1vChST0/PTS5f7Hb+N/1F9tMr9l9Qg9/vELfrdythJQMXdSlmdrnG3UrOT1LUXl1fooydkB7+fvkFj0+FZNcKExq3sBfXz52pc28unW89eVjV8o3XwiQY5E27j9VKEzq3aGJvnt6goxGg2oig6T/XTdInzx4eaHHHPF6VifjB3WSe4HXqZ6/t0YU6FZZnFtG99T8l65WsL93mZYPqmPSd09PUMfmtgXbbxrZQ6/eNtxmXlR8qv7debxQmHTVwI66dcwFNvPWFKh54cpKen8CAMqnLJ/pAACALQKlCnrt9hHy8Sq5oVfvjiHa8unt6l3EULStGgVq1Ts3qV0Jw8w/MKmfnrx2oLw83GzmB/p66b4JfbXqnRs1sGtzm8fu/3Bpsdu7sH0TLXx1qnq1b2xTQ8doyG1ZtP6jW4scjv2yPm11YM4MTR1edOsVd6NBT147UGs+vEVN6/tX4atQcfX8vdW9TUM9OKmfdn95l16cNkxubkX/elT09axO6gX4FKrJNX5QJ7m7lf3SMPaiDtr15V26on/7QuHUOQZJt47uqQPf3KMrBnQocpnHpw7Ul49dqUZ1fYt8PMDXS58/Mla/vjjFZmS9hOR0xRdopedq7Hl/AgDKpyyf6QAAwHkGS2kFd+BQx87Ea/3eCGWbczSgc7NCBYlLcio6SRv3n9TpmCT16Riinu0aV7gVUGJKhlbvOi5PDzf16Rgif1+vMq0XGZus3WFR2ht+Vv4+XurauqFCW9a36YZUG1Tk9XRFmVlm7Qs/q51HI3XwRIyaBNdRpxb11bllfWu9rbI4HZOkbYfOaP/xaIXkbaN9s3q17v0FAAAAAJVp2bJlMplMMplM8vX1lclkkre3t7y8vOTp6SkPDw+5u7vLYDDIYDDIbDYrKytLWVlZBEoAAAAAAAC1UUUCJfpMAAAAAAAAwC4ESgAAAAAAALALgRIAAAAAAADsQoVbAFXKMHSoLKtWOXs3AACwMgwdWq71+HsGAKjNCJRqoHMfevgQU/k414517nwSKpUP70cAKL/yhkbl3SbXagCAqyNQAgAAgMuojODI0ftB2AQAcAUESgAAAKhRKiM0Khjy5H+OogKgiuwDYRMAwBUQKAEAAKDaqYrQqCLPXdK2CJsAALUBgRIAAACcxpnBUWUhbAIA1AYESgAAAKhUNTk0cvTzEDYBAFwFgRIAAAAcoiYHR9UBYRMAoCYhUAIAAECZuXpoVF1GiSuIsAkAUN0QKAEAAMCGq4dGrqaqwyZeSwCARKAEAABQaxEcuf6xVEbYRKsmAIBEoAQAAODSCI1QnOJeR7rQAQDKgkAJAADABTg6OKqNN//VtX5SVaNeEwCgLAiUAAAAaghaG8HZCJsAAOcQKAEAAFQjhEbVA+fMfoRNAFC7ECgBAAA4AcERahPCJgBwPQRKAAAAlYTQqOagfpLzEDYBQM1EoAQAAFABhEZA5SFsAoDqi0AJAACgDAiOag9el5qBsAkAnItACQAAIA+hEeAaqjps4vccQG1EoAQAAGodgiPkR/2k2qUywiZaNQGojQiUAACASyI0AmCv4n7H6UIHAIURKAEAgBqL0AiOxuuPolCvCQAKI1ACAADVHsERgOqKsAlAbUWgBAAAqgVCIzgD9ZNQmQibALgyAiUAAFClCI4AgLAJQM1HoAQAAByO0Ag1Ee8xVBeETQBqAgIlAABQLoRGAFD1CJsAVBcESrXQf+E79cmWP+TrYdIHo++Vp5uHs3fJ6Sb9+Kxi05L0/cSn1cC3bonLrj2xW1Ep8erXNFSN/IKcvevV3q/7/tWv+/7TlR0uspl/35IP9O7IGTIYDM7eRQBOwM0JADheZYVNAFAUAqUaqKIfwo/GndLcXX+qR8M2hEl51kfsVXRqQqEwqahz/eyqL/Vn2Fbtmv6FGvkFyZxjlpvRzdmHUG08tuITvb3uR30w6l5N732ldkUe1dxdf2pU2z6yrFqV+2FmiLT37DEZDAbFpCao0Vvj1TKwkfbNmCN3zmWxuAFHdWP9nS7hcaC6K+19DLiK8oZNXMsBFIdAycGu//VlrTq23aHb7BjcXH/e8Hah+ScSohSeEFnkOm4Go/o36+zs0+HS6nh6a/XxXZo2/w39fvVL6lS/hbN3qVrIseTIbMlRkzr1inz82G/fq+V719jMy7bkKNgnoNaGSTGpCfpy+9IKbyfHkqNDMRH6aMwD8nDj8o6SHT4ZK7M5xzpdL8BHwQE+xS4fk5Cq6IRU63TDID8F+pmsNxrHIxOUlpFls86B49E206U9B1BWaRlZ2nvsrHYejdSxM/EKquOtxvXq6OLuLdQoyM/u7XHDDFdkz3XesmpVsdf5c4q6zhfEdR6oXbjjcLDo1ASdTIqu+IbyqWsq+oPRnB3L9L9VXxT5mJ+HSUlPLnH26ah24tOTFZ2aUGh+do5ZORaLDseeLPRYXZOf6vkEFLm911Z/p4OxERr81X1acf1b6t6orbMPsUqFxZ3WmhO7bebtPRsuSfr72HYlZaZpZ+RRSdKaE7tlkazn/3RyrL7duULJmWmSpLOpCfp254pCzzGu40D5eXo7+1Ar1ZnkWD2y4mOHbS8mLVHzJj5LqIQS9b7jU8WnZFinQ1sEa8fn0+XuZixy+Zm/b9KzX/1tnX7/npG6Z3xf6/Q1L/6stXsiSn3eAF8vdWwerAcn9dfkoXzxAftEJ6TqnvcW66d/9sqcYyn0uEHSgC7N9Mqtw3Vxd77oQe3GdR5AZeNuo5Lc22e8buk5qkLbWHRovZ766/NSl2vsF6QAL1/r9KF8oUhsWqLaf3C9zfIZ2ZmSpF1RYQp+48pC23t35Axd1+0Sp56/yvLJ5gV6fOXsYh9v98F1heY93H+y3rx0epHL/zTpOY374X9afnSzrvzhfzp4zze1qhvh2hO7df1vrxT52LsbfrGZnrV5gWZtXmCd3nP2mM26R+JOFbmtw/d8K7+gEGcfaqUKNPnppu6XlXv98IRIm5aRu6PCtDsqTD0bt3P2oaEG2RserY8XbNaMq/pU6vMkpGRow76TmvLCz3rvl/Va/ub18vX2dPbhowb49d99mv7OQkXFpxa7jEXSmt0nNOT+r/Tg5P56a/qlzt5toNrgOg/A0QiUKkmTOvUq3Fpld1RYmZZ7dfhturHHSOt047fGW1t9WCwWxaQlFrme2ZJT5GPnAidX5OXuqcB84VtZmNyL/wPo7eGlBde8rGkL3tTdvcfVqjBJkvo1DdVnVzxsM++LbUu0NmKPHh1wtdrXa6oFB9ZqwcG1mtZztPo3DVV0aoIeXzlbnYKb66H+k5WUmaYHls1U68DGenLQtYWeo75voLMPs9KF+NfXl+MeL9e6607s0bgf/medHtOun+aOf0oBJvu7fADPffW3rh3RVXXrVE2rwLV7IvTwrOWa9eDlzj50VHN/bz+mCc/+WOblLZLe/nGd/Lw99dxNQ5y9+0C1wXUegCMRKLm4QJOf9t/9tc283/av1hMrZ6tjvWb6/eqXCq3jyiOX3d9vou7vN9GudeLSkrTw4Drr9Nm8Llsrw7Zai3hf3WWYYtIS9V/4Tg1q0c3Zh1ll2gSFqE2+1kNxaUl64Z85Msqgpy6+Tv5evopIPKsFB9dqaMseurbbJQqPP6PHV85WSJ1gTbtgjGJSE/TAspkK9gnQtAvGSJJe+OdrrT2xR6+NuF3+dgaAtcnsLQt1z5L3lWHOrWfw+EXX6OXht8poMFZwy6itYhLT9PzX/+jdGSMrvK1bRvXQJb3aWKfjktK0fNMRrdwapqS0819cfPzHFt01rre6tm7o7MNHNZWVbdZd7ywqNP+uK3tpTL/26tamoU5EJWj1ruN64et/lJx+vsbLi3P+0aTBoercqoGzDwOoFrjOA3AkAqVKtPHkPl385X12r9fUv74O3zvXIfvgZnRTh+DmNvMa5wVGJnfPQo+hsL1nj+mK758sNH/agjcLzevRsI223fmZs3fZKVYc2ayHln+k44lRurv3uEJB0PIjmxWXnqzYAq3iTO6ecjMYtSPyiF769xsZDQa9vvp7pWZn6PkhNzn7sKqlpIxU3bHwbX2/+y9JUoCXrz65/EFN6TLM2bsGF/DR75s0fWwvdWgeXKHt9OrQRFcP62Izb/qVvRUZm6wuN3+k6MQ06/wtB09zo4FivTVvrfblK/DubjRo9iNjddPIHtZ5Tev7q3/nZho/qJN63PqxNVTKsUjPfvW3fn5+crHbj0lI1eGTsfL19lRIcB27W25UdH2gqnGdB+AoBEqVyGKxWFsO2MOVu5xVB0sObdDL/31bpmWfH3KT6vsGql9IJ+u87WcOK92cpZ6N2sqrQBe3dvWaOvvwqtw3O5bryZWzFZFXjH50275685I7Cy03Z+dyzdm5vNB8X09vDW3ZQ3+GbdXT+YrMtwsKUa8mHZx9eNVGbFqi7lz4f+oU3ELf715prZU2um1ffXrFQwrxr+/sXUQNZpDk4W5UZnaOssw5emjWci18dWqlPFfDID+N6ttO36zYaZ23/7hjB7OA60hOy9RL3/xrM2/qiK42YVJ+bUKCNP3K3npz3lrrvOWbjignxyKj0WCdF3Y6Tve8v0Tr90YoJt9Nr5RbuPjaEd10z/g+quPjVeTzVHR9oKpxnQdQGQiUKlHPxu0U8UDZ+/uf4+aAodPTsjM18cdni3wsPP6MJCks/kyxy0jSdd0u0biOA6vobFWdqJQ468hk7sV0Dcq25A6xGp2aoOGtL9S6Wz+yPlb3tcuVbs7Syhv+T3W96zj7cJzu4hbdFJOWqLZ1m+ihAVN0x4VXyGA4/6F9cueh6tKgVaH1znUXlKRl17+p/8J3WrsT+nh46eIW3R3yu+AqsszZ+mnvP9bpuiY/vXPZ3Tb104DyMhoNund8X731Y2733kXrD2n5piO6tHebCm65aHXrmGymYwvckAPnHDwRo9SMbJt5D07qX+I6D03ur6xss828hJR0a8uhH1ft0a1vLrDpkpPf3vBoPfX5X1q47qCWvnGd/H1tQ6GKrg84A9d5AJWBQKkSebp5VEmrgW92rtCmUwes04kZqTJbcvTLvn9LXC8hI6XEZXq7eOuQkrqndfrwBu2POVFofkJ6suIzUuRmMCqQoscKizutNSd269GLrlGbuk1kMBg0d9efZVo3PCFS4TtXFPlYenamft+/WiZ3T00MHezsw6x2hrbsobnj/6fGdeo5e1fgQp6+YbDmLN9hHUHrwY+Wacdnd8rNzfE1uXYdjbKZbhviurX7UDEHTti2amjTpK66t21U4joNg/z0TjH1YaLiUjTtjfk2dZaMBik4wEdn41Nlybfsur0RemXuf3rt9hEOWx9wJq7zAByNQKkKZOeYlV7Gbmy+Hiab1h1lsTJsq1aGbbWZ5+XmofdGzijT+p9tXaTNpw/qsja9dVW+Fkl9m4Y6+cxVP8fyWneZ3D218OA6ta/XtFbXoVp7Yreu/+2VStt+sLc/gVIRJnS6mDAJDufv66WXbx2u2976Q5K059hZfZJXSNVRImOT9dXS7Vq1/ZjN/PbNeD+jaAdOxNhMN6vvX6Htzf1zp00YdGmv1vrhmYmqW8dbiSkZemveWr2Yr4vdhr0RDl0fcCau8wAcjUCpCszb/ZeuK+NN9+F7vrUZNassxnW4SD0atbVOv7V2niTpjl5jy7T+38e2a/Ppg+rZqG2Z16mtzgVK7kY3jf3hKbUPaqq9d39V67tm+XmYNLB51xKXiUyJ07Yzh+Xt7qnBLbqXuGx0aoI2nz7o7MMCap1bRvXUzN82avuRSEnSs1+u0tQRXRXoZ7J7Wx/+tlHz15xvPRuXlKbNB04px2K7XICvl/qH1r76cyibAwXqrjStYKB05FSc6vmfL5r94i3DrF3h/H299NDk/nrpm3+tLY32HDvr0PUBZ+M6D8CRCJSqUB1P7yJvpLNzzFp6ZFO5tzuu40CbOiofb16g5Ez6KZdmZ+RR+b0yqsjHUrPSi5x/rhDygGadteTwRjXwDaz1YZIktQxspCXXvVHiMvP3r9a4eU+roW/dUpddeXSLRnzzsLMPC6h1jEaD3rtnlAbf/5UkKToxTS98/Y/+7+7L7N7W3vBo7Q0vvQjrezNGqmEQXYhRtIws21pIJs+KfXT98L7R+vC+0YXmJ6dlasuBU/p88TabbmvZ5hyHrg84G9d5AI5EoFSFWgQ01B9TXy00PyUzTX6vji7HFkt3w2+v6HhCVInL7DsbLkn6btdKrYvYK0lqGxSiz8Y+4uQzVjnq+QSoV+P2NvOOJ0QpKjVebes2samNVLDo9vz9qyVJA5t31ZLDG519KNVOcmZasWFmXHqyJMlsydGZ5Nhit9HAN9DZhwHUahd3b6GJF3fSz//uk5T7DfSdY3s5/HkaBProiWsH6cZiRusCpMJ1V45HJThku7vDojR3xU5tOnBKO49E6mxCapWuDzgT13kAjkKg5OI2ndxfZHHpohxPjNLxxNzwKSHv5t8VXd6+vy5vbztCzANLP9S7G37RuyNnaEz7okePOZl41jo63KDm3Zx9GNXSy/9+o9fWfF/iMicSz6rx2xOKffzMQ784+zCAWu/N6Zdq4bqDSs8yK8uco4dnLVevDk3s2ka7kCA1CT4fyhskNQryU8tGgWrfrJ4mD+ksX29PZx8qqrl2TQsESpEVD5Se+WKVTZ2j/Op4eyolPbNQlx1Hrg9UB1znATgCgZKLe2/UPUrKKPlbs3fW/6w1J3ZrXIeLdF23SyRJAS4+gtnRuFMaP+8Z3XbBGN1UxLDrR+NOyd3opuYBDa3zft77jyyS2tZtonb16AdeEoMkN4PtiCE5Foty8joCuBd4zKLclkvnmNw91TKgYaEWYgCqRstGgXpoygC9/O1/kqQ/1h1UfHK6Xdt4YFI/Tb/ScYVeUTsVbKF0+GSsws/Eq0WjwGLX2XrwtCY996N12uTprq2f3iEvT/dCRbMlqUvL+rqsT1v1C22qERe2VpMJbystM7vIbVd0faC64DoPwBEIlFzcpW3OX+R/2vO3/ju+U++PutdmmZ/3/iNJ6hjcXBNqyYha3+9aqR2RR/TGmh90VadBNo/N2jRf9y39QMNbXWCt9WOxWDRnx3JJ0ow+V8m+cfhc14TQwRrR+kK5F6gjNaXzUH0/8RmbeedqKLUMaKiw+3+weSwyOVaN8rVauqh510LLAKhaT0wdqC+XbNOpmNwWq//tOm7zuIUWGKgCXVs3lMnDTel5tZSycyx6Ze5/+uShK4pd5615a3X0dLx1+or+7eWVV3tp9sIt1vkebkYtef1aDb+wtXVeema2MrKKD4Mquj5QnXCdB1BRBEpV6HDsSfX4+NZC83MsFSvYeDo5Vvujz/8ByM4xF1pm4cF1mvzz85KkLg1a6fYLryjz9l3Rd7tWSpJu6H6pmtQJtnmsX9NQa6H0X/b+owmhgzVr83xtPXNIfh4m3dxzlNKyMpx9CNWCyd1TJr+gim8IQLXj6+2pV28boRtf+93Zu4JaLDjAR/dP7KfXvl9jnfflku0a1rOVpgzrUmj5/3aG66e/99jMm3BxJ0lSTEKqDkacr+HXvU1DmzBIyq2NVFx3tYquD1Q3XOcBVJSx4ptAWWWasxUef6bQv9KKZpfmiZWz1WnmjdZ/0WmJhZYZ066fLm2dW2zvoWUf6WjcKWefDqf5L3yn9kbnFiK/vvulhR7v2bidtevfhxt/0/GESD3+56eSpFt6jpa/l2+R211+ZJMu+nyGllKsG4CLuP7SburT0b6aGoCjPXHtIDUI9LFOZ5lzdPWLv+iOt//QonUHdexMvFZtC9NTn63UsAe+Vna+RCe0RbAmDeksSYW6oe07Hq2k1PNfEGVmmfXoxytslrHka6JR0fWB6ojrPICKoIVSFQqt30K77vqy0Pz07ExN+vFZSZKPh8nu7fp5mGRyP1/wLqaIQMlgMOjTKx5S6Myb5GZ005HYU2pdt3b+8Xhi5WxJ0qDmXdW+XrMil3l52K3q2aid7uw1VlfNe1pJmWkKqROs54feXOx2LRaL1kbs0aKD6zSybR9nHyYAVJjBYNC7M0ZqwIwvnL0rqMX8fb306m0jNO3NBTbzP124VZ8u3Frsen4mD/3ywhT5mDwkSU3r+6uun0lxeXViUtKzNOqxubpqYEdtPXRai9YfUkKKbQvkbPP5VuQVXR+ojrjOA6gIAqUq0L5eM83oPU6N69Qr8nGTu6f+mPpqubf/4ej7dGO+wtIjv31UqVmFi+q1CGykz698VP2ahqplYCNnnxan+OPAWq05sVsGSW9dOr3Y5ZoFNNDtF16uKT8/r2VHNkmSPh/7iAJdvFi5M0SlxGlH5BFn70a1l8O33HCS/p2b6doRXTX3z13O3hXUYreM7qngAB9Ne2O+ohPTSl0+qI5JXz0+Th2b23Zr/9/1F+uhWcut02t2n9Ca3edHw72oSzOdjU+xdm1LTs9SVFyKGtT1dcj6QHXEdR5AeREoVYHeIR3VO6RjmZZNzEjR8iObJUnzD6wpcdk6Xj5qWie4UKumpXmFpItydZdhheZlmLOcfYqqTPt6TdU6sLGGtOyhPiGdil3udFKMLv/uCW09c0iSdFevK3VZvlZH3h5eMsqgo3GntePMYdXzCdCaE7slSW4FClSjZMO+flB7zh6TJJncPIrtUlhb3bP4PZ1NTVB4/BnrPKIlVLXXbh+h3/7bp9QMig3DecZe1EG7vrxLt7/1h5ZsOGTTte0cg6Rpo3vq1dtHKDjAp9DjD0zqp5jEVL394zplZJ2vORno66UbR/bQm3deojv/b6FNraT7P1yq756e4JD1geqK6zyA8iBQqmbcjW66+ucXbIZQL1g0+px7+07QvX3L/wFl/LyndTIxWptO7Zckm25zrqpDcHOtv/Uj6/Sywxu1KypMq45tlyR5uuU2i/9i22JrmHRd1xF6f9Q9Ntvx9/JVn5COWn9yn3p8cpvNYz0atXX2YTqN0WCUu8Eoo6Hs5dn6NQ3VgejjquPlo3v7TpC3h5ezD6NaORBzQiuObrGZF1LMNQGwR9zCx8u8bNP6/kpZ+lSJy6z5cJqzDwm1QKMgPy145RplZpm1L/ysdh6N1METMWoSXEedWtRX55b1VT+w+C8mDAaDXr51uO4e10cb95/U6Zgk9ekYop7tGstozB3D9fNHr9Tnj15ZKesDVYnrPIDKRqBUzfh4mDS163CdyCvUXd83UA/2n1xpz7cxL0xyNxg1pn1/Zx9+lajvG2j9+d/wnXpl9VxJkpebh3o16SBJemzgVC0+tEGd6rfQp1c8VGRA8sPEZ/TV9qU6HHvSOi+0fktNDB3s7EN0mpeH36qXh99q1zqfjX1En419xNm7Xm1d0X6Assznvy3s1aQDNboA1HqeHm7q3raRurctXxf+JsF1NG5g2VqPV8b6AAC4AoOF4SccKjEjRVnmbPl4mKp9S4t9Z8N1NO6UjAaj+oR0VD2fAGfvUpULizutvXndrS5s0kGN/IKsj8WmJaquqY4MBoOzd9MlJGakKCzutDzdPNSpfgtn7w4AAAAA1HrLli2TyWSSyWSSr6+vTCaTvL295eXlJU9PT3l4eMjd3V0Gg0EGg0Fms1lZWVnKysoiUAIAAAAAAKiNKhIolb3QCQAAAAAAACBqKAEAADsYhg4t8XHLqlXO3kUAQAVwnQdQVgRKAACgRKXdXBS3LDcdqO7OvV95r6I2s+caX9Ty/P4AtReBEgAAsGHvzUVZt8NNBwA4n6Ou8UVtj+s8ULsQKAEAALtuMM7dMBRs3VHaNrjpAADnsDdEKuq6blm1yq7rfP7tAHBNBEoAANRS5QmRyroM4RIAOE95AyR7livLc3CtB1wbgRIAALVEZd1glLYu32gDQOWr7Gu8YehQm3UKrs+1Hqh9CJQAAHBhjm6FVB4VuenghgMAilYVXxKUpZtbUdun9RJQOxAoAQDgYqpDiFTW5+QbbQAom6psZVpRtF4CagcCJQAAariadJNR2r7QegkAzqvJ1/fi9ovWS4DrIFACAKAGqu6tkMqLwt4AajNXCZDs2WdaLwE1F4ESAAA1hKuGSGU5Bm44ALiimhYgFSzM7Qi0XgJqLgIlAACqqZp2o1GZ6BoHwFXUtGu7PYW5HfFc+fFlAlC9ESgBAFCN1LZWSOVF1zgANUVNC5CqE1ovAdUbgRIAAE5GiFQxdI0DUJ2UpzUP16LS0XoJqH4IlAAAcAJCpMpB1zgAzlCbWiFVRh2l8qD1EuB8BEoAAFQBAiTnoGscgMpQmwKkmoDWS4BzECgBAFBJCJGqF7rGASiv2t6NrSoLcztqf8+h9RJQeQiUAABwIEKkmoGucQBKQysk10DrJaDyECgBAFABBEiuga5xAAiQagdaLwGOQ6AEAICdCJFcG13jgNqDEKl8qkth7oqi9RJQMQRKAACUASFS7UTXOMC1ECCVX02ro1TeYzyH1ktA6QiUAAAoAjcdKAqtl4CahWs5yovWS0DpCJQAAMhDKyTYg9ZLQPVEiITKQOsloDACJQBArUaIBEehsDfgHARIqGq0XgJyESgBAGoVbjxQFegaB1QeruPVg6sU5nYEWi+htiJQAgC4PFohwZnoGgdUHCFS9VAbCnNXFK2XUJsQKAEAXBIhEqorusYBpSNAgqug9RJcGYESAMAlcPOBmoiucUCu8rR64XcANQ2tl+BqCJQAALUCH8JQ3dl7o4GKiU5NcPYuwE5cx+Fq7G29BFQ3BovFYnH2TgAA4Ah8kwdXxXu74iwWi7aePqhFh9Zr0cH12nzqgD694iFNu2CMs3cNeXif1wznXiden8rF7wOqyrJly2QymWQymeTr6yuTySRvb295eXnJ09NTHh4ecnd3l8FgkMFgkNlsVlZWlrKysgiUAADOE3Y6TplZ5mIfNxgMahTkJ39frzJt7/DJWJnNOYXmt2gUKJNn0Y1yoxNSFZOQWmh+kL+36gf6OvsUFZKclqmTZxNt5rVqXFeeHm7FrmM25+jwyVibec0aBMjH5CFJOnoqTlnZ5iIfK0rB161JcB3V8Snba1QbFHwf1gvwUXCAT7HLxySkKjrfe7BhkJ8C/UwO2ZfU9CxFxadYp/19vBTk7+3sU1TpTifF6EDMCe2PPm79t/3MYUWmxNks5+/po0P3fqsGvnWdvcs1EtfwqsX1v/riuo+arCKBEl3eAABOM+KhOTp6Or7U5eoH+KhtSJCuHdFVt11+YbEfnnvf8aniUzIKzf/h6QmaMqxLkevMeG+x5q3aU2j+w5P7683plzr7FBUSGZusjjfOtJn383OTNGFwaLHr/LszXMMenGOddjMaFPHTg9abhovv+1Ino5Osjy974zpd2rtNsdsb+ei3Ohhx/gblx2cnatKQziXu953/t1Brdh2XJE0e2llP3zDYruOu6PpVqeD7MLRFsHZ8Pl3ubsYil5/5+yY9+9Xf1un37xmpe8b3dci+LNt0WOOf+dE6fd+Evnp3xkhnn6JKd/l3T2jrmUNFPtbAJ1AjWl+oEa0vVL+mofL3cq3QoSpxDa9aten6fyY2We//skG//bdP4ZEJMnm6q13TIPULbaonrx2khkF+zngJisV1H7UVgRIAoNo7m5CqswmpWrc3Qm/NW6slb1ynjs2Dy7z+mt0nir0ZOfcht6ZoExKkC9s31paDp63zFm84VOINxeL1tjfWg7u3UKMq/DB+IipBXy/drvS8b7UvynfzUhXrO9ve8Gh9vGCzZlzVx9m7Ums8PGCKHvvzE4XUCVaboBC1r9dU76z7SfEZKfr8ykd1efv+hda54bdXtPjQhlK3fWmbXvpuwtPOPsQahWu4Y9SW6//xyAQNuvcLHY863xorLTNbG/ef0sb9p/TF4m369OErdM3wrlV2HPbiuo/awljxTQAAUHWORSZo+INfK+x0XJnXWbO76BuO45EJiqhh4YQkTRlq+23w0o2HS1x+8YZDBdbvoqpy7Ey8bn59vvVmoqrXry6e++pvxSWlOXs3ao1rug7X8Qd+1LpbP9K345/SM4NvlJ9nbpcPQzHrJGWkKiYtsdR/SRmpZd8RFMI1vGJc/fp/KjpJwx782iZMKig5PUu3vD5f2w6dLvN2nYHrPmoDWigBAKqNF24eonZN61mnYxPTtDssSv/tDNfuY2et80/FJOvJ2Sv1/TMTi92Wl4ebTJ7uSkjJ0I4jkUpOy5Sft6fNMvlvUhrW9VVkXIpqgklDOuvRT/60OR87Dp9R97aNCi0bfiZee8OjrdPuRoMmXNyp0vYt25yjH/7arZiEVO0Ki9I3y3coMzunytavrmIS0/T81//Q7aAGmNF7nGb0uarQ/FmbF+i9Db84e/eqNa7hlc+Vr/+SdN3Lv+rIqfNh4yUXttYto3sqwNdLb81bq7+2HZMkpWeZ9fQXq7Tw1amVdjwVxXUftQGBEgCg2rikVxv1C21aaH5Wtll3vL1QXy7dbp338z979ebZRDWt71/s9vqFNtWyTUdkzrFow94IDb+wtc3ja3efsP7ct1OIFqw96OxTUCYtGwWqb6cQbdh30jpvycbDRd5QFPx2esSFrVWvhEKhFZWanqXrX/nNaetXZx/9vknTx/ZSBzu6+hQlJiFVh0/GytfbUyHBdVS3TvmLrYadjpOXh7uaBNdx9ulxGIvFoi2nC/8uZ5qzJUmHYk9q86kDNo91Cm5u/TnYJ0Ad8k2fU98nwNmHVu1xDa98rnz933H4jFZtP2ad7ta6gRa+OtVac2toz1ZqNP4tJeTVKvpn+zFlZZvl4e5WnqerElz34eoIlAAA1Z6Hu5s+f3SsVm0L07HIBElSdo5FH/y6Qa/fcUmR65jNOeqfdzMiSat3HS90M7Im381Iv9CmNepmZPKQzrY3FBsO6fGpAwstV7B+RnF1SFA5DJI83I3KzM5RljlHD81aXq5v1MNOx+me95do/d4IxSTadqEIbRGsa0d00z3j+5RptKW4pDQ98vEKrdh8xNqtpHGQny7r3Ubv3zuqxo/YlGnOUu/Zdxb7+APLZhaat37aTKHycA13LFe9/hcsrv5/d11mU8Dd5Omu7Z/dqdT0LGfvaom47qM2IVACANQIBoNB117STS9/+5913oI1B4q9GbFI6t+5mXU6/42HlDv88s6jkZKk5g381bhezfqmbtKQUD08a7ksedNrd59QQnK6AvINO5yRma2/toVZpz3djRo3sGOl7pePyUM/PzfJZt6KLUf1yR9bqmT96sZoNOje8X311o/rJEmL1h/S8k1HShxFqaAfV+3RrW8uUFJaZpGP7w2P1lOf/6WF6w5q6RvXlThEe0xCqoY/OEfbDp+xmX86NllfLduhDftOav7LV9t0W6ppDAaDWgY0tJlnkRSekPv73sAnUD4etufIy92zrJtHOXENdxxXvf6v3xth/dnk4aaBXQu3FGzZKLBSj8ERuO6jNiFQAgDUGP0LdKU4HpVQ4vJ9O4XIaJByLLkfVM3mHLnlDeG7fm+EzDm5H8cH5LtpqSmaNQhQ/85NtXZP7gfw7ByLVmw5qon5Rvv5e/sxpWZkW6dH9mmrwHw3HMWZt2q3tpZQ7DQ2sfgio+5uxkIjDsXaUZS0outXR0/fMFhzlu9QVHxuMecHP1qmHZ/daX0vliQqLkXT3piv5HzfyBsNUnCAj87Gp1pvKCVp3d4IvTL3P712+4hit/ftn7tKfL59x6N1/Su/af1Htzr7tJWbp5uHwu7/wWbeHwfWauwPT0lSsaO8WQr8b+/jKB3XcMdw1et//iLbrRrXlcFg0Fvz1mr93ggdiohRq8Z11aNtI9025gKFlNBVsjrguo/agkAJAFBjNCww1HFqRrZiElKLrQkR4GdSaIv62n3srJLSMrUrLEo98upM5K+9MaBLzbwZmTyks/WGQsrt9pD/hmJJgdF/yjq6zxdLtjv70FyKv6+XXr51uG576w9J0p5jZ/XJH1t017jepa4798+dNjcVl/ZqrR+emai6dbyVmJKht+at1Yvf/Gt9fEO+b/iL3R8fT907vq+G9myl8Mh4fbN8p03dkg37TmrhuoO6vH97Z586h3n5v2+dvQsQ13BHcrXrf3pmtuLzaiNJkpvRoItmfK7NB8+HTDuPRmn+mgN6/5cNmvXAmGrdhY/rPmqL0iNSAACqieAibjqiE0oewtumy8Su8yMC5R8dqH8N/XZ74uBQmyHQCw4fnb9+hrenu8Ze1MHZu1xr3TKqp3q0Od8N69kvVyk+Ob3U9Y6cilM9f2/rvxdvGWYtxurv66WHJve3eQ/syTeSVnG+fGycXpw2TMMuaKWbR/XU4tevVfc2tl3EPvh1g7NPmcP8eXSLNpzcZ53+v3U/amfkEWfvVq3ENdxxXO36n5gvTJKk3cfO2oRJ+cUlp+vqF3/RvzvCnb3bJeK6j9qAQAkAUGOcik4qNK/gN94F9e98vovF6rybkZwci7VWg4+Xu/Ub75ompL6/TY2Jc8NHS9Lhk7E6dDLW+tiYfu0KDbmNqmM0GvTePaOs09GJaXrh639KXe/D+0Yrev6j1n99OoVIyq0f88/2Y7rn/SU23R+yzSUP0d27QxONLzBsuMnTXc/dNMRm3v7j0XIVL//7jc30qmPb1fPj23Tz768pMvn874ihwP8FlfY4Ssc13HFc7fqfmW0uNM/daNDkIaH6/ukJ+uDeUQopMCrZnf+3UJlZ5rI+RZXjuo/agC5vAIAaY8+xKJtpX5NHqTUhBhRR1HXX0UglpuYWuuzdMUTuZahpUF1NGdpZ/+X71v7c8NEVGd1n6evX6rI+bYt9vMP1H+hgRGyZt4dcF3dvoYkXd9LP/+a2lvnwt426c2yvMq27OyxKc1fs1KYDp7TzSKTOltKqozgdixm6ulOB+RFnE5WZZbYZYakmWnFks/4O3yFJcjMYZbbkqGuDVtoVFaavdizT38e2a9n1b6p9vdrXwsUZuIY7litd/72KuNa8evsIPTxlgHV6/KBO6njDh9ZC1fuOR2vDvggN6tbC4fvjKFz34epq59UXAFAjFWzWXfDbyqK0b1ZPQXVyb1hOnE3UiagErd1zvvZGwSKxNc2EwaEy5msyce5GYvGG8zcUfiYPjenXrszbNBhog1FZ3px+qUx5H9azzDl6eNbyUtd55otV6nrLLL32/Rqt3Bpmc1NRx9vT5vUvTbumQUXObxMSJLd8G8qx1Pxi6EdiT+qaX16UJI3rcJEa++Ue+yvDb9MHo+6Vu8GoYwmRuujzGTqeNwIcKhfXcMdypet/cICPPPIFg57uRt0/sZ/NMk2C6+iGy7rbzCtLdy9n47oPV0agBACoMdYXKDzZt1PpNxIGg0H98t1wrNl9wmb46ZpezLVRkJ8Gd29pnV6354RORSfpn3zFNq8Y0EHeXh7O3lUod8jrh/J94/7HuoP6c8vRYpcvWHxVkrq0rK+HJvfXT89N0vEfH5CXR9kbnKfkK/SaX2aW2TpilpR7M9cg0NfZp6vcEtKTdfl3TygmLVHe7p56d+QM62MGSTP6XKVvxz8lN4NRnRu0UlP/+s7e5VqBa7hjudL132AwqGHd89ectiFBRbY869DMdmj7Y2finb3rpeK6D1dGlzcAQI3w3s/rtWHfSZt500b3LNO6Azo30+INuQVL1+w6blPY1RWKuU4e2tk6Wkt2jkVPfrZS6fnqSlxdjUfCqY2emDpQXy7ZplMxyZJk02VFkiz5imPMXrjF+rOHm1FLXr9Wwy9sbZ2XnpmtjKxsldW+8KK/zT8YEWMz3bxBgIz2fAVejWTnmDXpp+e0PyY3dHhq0HVqEVi4xs6ULsMkSX2bhspo4DvWysY1vHK40vW/ZaNAReTV2YpLKrp49aEC3e2aNwhw9m6XCdd9uCr+egIAqjWLxaI/txzVo5+ssJnfLiRIg3u0LNM28t9w/L56v45FJli3EVzMcNU1yfhBnWyarc9ZtsP6c4Cvly7r3cbZu4h8fL099eptI0pdLiYh1aZWSfc2DW1uKqTcGhs5llI3ZbV4/SEdz3v/5/fZoq02051bNXD2aSq3/1v3o1Yczb0hG9mmtx4fOLXYZad0GaaWgbWvoHNV4hpeuVzp+p+/cPTp2GRtzysynt+i9QdtpourD1TdcN2Hq6KFEgCg2vhs0VaboY9PRCVoyYbDOh2bXGjZZ24cXObt9ukUIjejQeYci/XbT8l1uko0qOuroT1a6s+tYZJkM/rLuIEd5eXJn/vq5vpLu2nm7xu1cf+pYpdJy7T9Bnrf8WglpWaojo+XpNzuCo9+bHuTbrGUfJeRnWPRmMfn6tcXp6hd03rKybHos0Vb9fGCzTbL3Tu+r7NPUbnd3GOUZm2aLz9Pb82b9KzcjBSYrSpcw6ueK13/rx3RTY9+vELZeWnJtDfma+GrU9W4Xm6trXl/7dbR0/HW5RvV9VXfvBHQagKu+3BFNecKAwBweZ8v3lam5aaN7qnrLulW5u36eXuqa6sG2n7EtvDuABfqKjF5aGfrDUV+Nam7Q21iMBj07oyRGjDji2KXaVrfX3X9TIpLzu36kZKepVGPzdVVAztq66HTWrT+kBJSMmzWKW34aEnafeys2l//oZrU81NSaqZ1xKRz+nYK0bALWjn7FJVbfd9A/TH1VdXx9Ja/l/31QDafOqCPNy8oNH/jyf3OPrRqj2u4c7jK9b9BXV/dOuYCffxHbgvDrYfOqOMNH6pvp6aKT07X5gO2QcyzNw2Rr7ens3e7zLjuwxURKAEAagyDpKeuG6Tnbhpi97r9OzcrfDPiQt9ujx/USXe9s8j6za4k1fP31ogCTeVRffTv3EzXjuiquX/uKnaZ/11/sR7KNyJQwYLEF3VpprPxKdYuEsnpWYqKS1GDukUHKWMHtNff248pMTXTWssjv+YN/PXlY1c6+9RUWJcG5b8xWnhovRYeWu/sQ3BJXMMrhytd/z+8b7TiktM1b9UeSVJiaqZWFFHAeky/drp1zAXO3l27cd2Hq6GGEgCgWqvn763ubRrqwUn9tPvLu/TitGFyc7P/z1f/zrajCQX4eim0heuM7FQvwKdQnYXxgzoVOUoOqo/Xbh8hH6/iv997YFI/PXntQHl52HbbCvT10n0T+mrVOzdqYNfmNo/d/+HSYrd3YfsmWvjqVPVq39im7orRIA3q2lzrP7pVnVzo96I8QoNbaGKniwv961y/pbN3rUbiGl75XOn67+Zm1LdPjddNl3WXr6nw6HTuRoNevW24/njlmhp5fBLXfbgWg6W0TpcAAABwqlPRSdq4/6ROxySpT8cQ9WzXuMKj8SSmZGj1ruPy9HBTn44h8vf1cvZhVqpm/zdJEUnRWnjNKxrTvn+hx6/64X/6/cAaPTf4Rj075KZCj7/87zf636ovdHm7fvpj6qvOPhzA5WWbc7T14Gmt2X1cdXy81LVVA3Vu1UB+NaibW0Vw3UdVWbZsmUwmk0wmk3x9fWUymeTt7S0vLy95enrKw8ND7u7uMhgMMhgMMpvNysrKUlZWFl3eAAAAqrsmwXU0bmBHh27T39dLo/u1c/ahVRtdGrRSfHpysaO+3d9vom69YIy83GvHzSzgbO5uRvXpFKI+NajwtiNx3UdNQKAEAAAAl/fVuMeVnp2p3iFF36C9OGxaiev7enrL19Pb2YcBAEC1QaAEAAAAlze89YXO3gUAAFxKzaxkBgAAAAAAAKchUAIAAADgVIahQ529C7ADr1fV4nyjuiJQAgDUeIahQ/mwVcU4587BeYcrOvee5r1dM/B6VS3ON6ozAiUAAAAAAADYhUAJAAAAAAAAdiFQAgAAAAAAgF0IlAAAAAAAAGAXAiUAAAAAAADYhUAJAAAAAAAAdiFQAgAAAAAAgF0IlAAAAAAAAGAXAiUAAAAAAADYhUAJAAAAAAAAdiFQAgAAAAAAgF0IlAAAAAAAAGAXAiUAAAAAAADYhUAJAAAAAAAAdiFQAgAAAAAAgF0IlAAAAAAAAGAXAiUAAAAAAADYhUAJAAAAAAAAdiFQAgAAAAAAgF0IlAAAAAAAAGAXAiUAAAAAAADYhUAJAAAAAAAAdiFQAgAAAAAAgF0IlAAAAAAAAGAXAiUAAAAAAADYhUAJAAAAAAAAdnF39g4AAIDq665F72jv2XBd3WWY7uw1ttjlYtMS9d2ulfL38tEN3S9z9m5Xe6+v/k5x6clq5Bek+/tNrPTn+3jzAh2LP6M+IR01vtPFzj58AADgAgiUAAA1nmXVKuvPt//xlhIzUotd9q1Lp6upf31J0tydK/THwXVleo5hrXrq9guvcPahVrltpw9p/cl9uqbLMJv5+c+5JJ1OitE9S97X6LZ9CZTK4OPNC3QsIVJTuwy3a72C572s5u5codUnduv9kfc4+9BRzb2++jvN2rxARoNB869+WV0btq7057SsWiXD0KHlfn+Xx6qwbYpJSyzz8uM7DZLR4NqdOx5ZPksnEs8W+dgTA6eqe6O22nRyv36a+Zwm3f2cfpr5nH7e+0+J2/R0c9fYDhc5+9BqtJZXNtSx+ZGaOsO+vxdAVSBQAgC4lN/2/afoEm4Snr74emugtP3MYc3bU7YbmDqe3i4fKN0y//VCYdzBmAhJ0idb/tCKo1tsHru5x0iNad/fZp6nGx8t8vtk8wJd1LyrujRoVeTjRoOhSvenqp8PNU98erLCEyLlbjBWSZh0TkXCpHUn9mjST8+VadkGvoHaesdsPblyttaf3Ffm50h/apm83D2r7Hw4w9LDG7X77LEiH7u5x0h1l/T+hl/07a4/pSEq0zkP9PJV3OMLnX1oNUKJfy+GcP1G9cSnPgBApco0Z+nBZR85fLtN6tTTk4OuKzT/tRG3Kz0702ae2ZKj+5Z+WOy2ejfpoBtLaVUTWr9l1ZwwJ/rjwNpiw7htZw5r25nDNvMGNe/q7F2u1nZGHtGdi96RJN3de5w+HH1fpT3Xv+E7lGOxFPt4QkaKJOlQ7En9fWx7kcucTDwri6Trul3itHMGlEemOUsnk6LLtKw5xyxJuqBxe5nyBUQWSf+E75AktQxoqJaBjWzWc/XWSfm9c9nd8jC6SZJ+3PO3/j2+s9Ayzfzrq03dJpKk08mxOhBzQq0DG6t5QANJucHk9sgjzj6UGqMq/14AjkSgBACoVFnmbM3c9LvDt9ulfssiA6VpF4wpNM+cYy4xUOpQr5nu7nOVU89TdXDgnm9kKSGUKOir7UsV/MaVks7fpC0+tME675yj930nfy9fZx9elfty2xLrz/f1nVCpz3XZN48o3ZxV6nLvbfhF7234pcRl5uxYpgXXvGJzsw1URN/Z05VRhvdnSbzcPLThtllFPtarSQdtv2N2mbbjnheUzBxzv838vWePqfNHN0uSvhz3uIa07OHck+ZE03uNtbbG2h99vMhAaUrnoXrz0umSpM+3LtKtf7yl2y+8XI8NnCpJ+ufYdg35+gFnH0qNUZV/LwBHIlACAFSZe/uMV5B3Hev0v+E79dexbWof1FRTu56vDfDW2nlKzkrXdV1HqG1QiM02dkYe1a/7/3Pofs3bs6rEWkqPDJiipy6+3tmnr9IFefvrtdXf6bXV35W67M7pn0tSoRokmTnZhebZE1K5iixztubu+lOSdGHj9mpXr2mVPG/rwMby8fAqNP9o3GmlZmeosV+Q6nn7F3rcbMnRvujjkqSLW3QnTIJD7Yw8UqbAsyQmN49iH/P19Fb3Rm0rtP2/wrZJktrWbaLBLbpX/UlCreWsvxeAIxAoAQCqzL19x6tNvoDo5X+/yQ2U6jXVs0Nuss7/ePOC3ECp2yW6rG0fm23M3bnC4YFSVo7Z2iWoKAW70LmyjOxMJWSk6PYLLteAZp0LPf7Gmh+0NzpcFotFN/ccpcvzaijtjz6ucfOe1iWtL9QHo+7VyaRoDZ/zkLMPx2kWHVqvs6kJkqT6PgH6ePMCm8eTMtMk5daoKvhYfhc2bq/eIR3L/LzfTfif+jYNLTR/0Bf3aPWJ3Xpq0HVFtsZbfGi9xnz3hDyN7rqtiFZ+QEXcesEYZee1Yiyvcy2LipNpztIL/8wpcZmOwc2tXTr/PrZdL/37jfWx/XmBampWhi755mGb9RZOfZWQFZXGWX8vAEcgUAIAuJxrfn5Bp5Njy7z8lR0u0tt5TfeLUjdfq6raolvD1oXCPEn6fNti689B3v4Kymvtcu4Dbz1vf3UIbl7rb75mbzlfhHbpkU1aemRTkcttPLVfG0/tL3Y7Tw26rkpuEGZtmi9Jmhg6WA39gqr4bMHVfVAF9WCyzNl6+b9vS1zm8nb9rIFSZHKsVoZtLbTMqeQYnUqOsZlnrmAYVtNsOX1QnnktwqJS4p29Oy6vpv29APIjUAIAuBSLxaJf9/2nzJzsoh8v4mejwVDi6D2lfTPuimYseV8zlrxf6nIv/PO17uo9TmlZGZLk8qMglcXcnSu0+PAGSVK3Bq2L7L6w5NAGpWZnqLl/gxJvAIobHc7RhrW6QDsij2gGtcRQw7Wt20RfjXvcZl54QqSu/fXlIpd/cuC1emHozUU+duGnd2hHLSwsfdEX9zh7F2qNmvj3AsiPQAkA4DTnirQaHDgU7pnkWGuYNPuKhxVo8lOOJUdTfn6h2HV+279av+1fXezjTw26Ti8Nm+bs01Ulbr1gjEYW0TKpoMZ16mnWpvl69u+v9NX2pbq+26WSJF8Pk7MPwamOxp3SXYvetZ6Lxde+phD/+oWWa/Xu1TqWEKmLW3TTN+OfcvZu64H+k3RP3/G1MjyFa/Hz9NZFBUagDI4OKHZ5o8Egt2Le97V1kPYWAQ2txx6TlmhtgQrHqql/L4D8CJQAAE4TkXhWktTQt67DthmeEClJcjcYdXOPkdYbhXNFVuv5nL+xOPeB2SiDPN2K/5PoUYtush9d8YlSstJLXOZ4QqR+v/olTekyVHN3/ak1J3brhX9za5c0yxsyujbKzjFr6i8vKTEzVVJuEFnUzUFlyjBnFVnzKyevMHpWjrnQ45tPHVBdk5868+22Sxsx5yHFpyeXutzJvOtytiVHvT69o0zbHtS8q94ZOcPZh1gu76z/WbO3LirysZi8uja1zYEZc6ytTe9Z/J4+rISRWmu76vD3AnAEAiUAgNOExZ2WJDUPaFjqskkZqarj5VPqcuHxZyTlBhv5v3UuqS7M1K7D+dYvT6DJr9hw7d/wnToan/uaDf3qAe2b8bX+vOFtXfvLS9ZC6bX1BkzKfT8fyCvsO7zVBXrkoqurfB8Gf3V/iY8/sGymHlg2s9B8H3cvvTfqHt1KQW6XtePMYUUXGIGxNFtOHyzTco1rcN0tk7un6pr8inwsPj1Z2eYcZ+9itbTi6BbdufD/JJ0vaP7b/tUKy/sbfDopptzbrg2qw98LwBEIlAAAThGReFarj++SpDINkTv5p+e0Kyqs1NZMxxOiJEktAxsVu8yhmAgdiTtl/eB7KilGSw9vLNN+9wnpaC1E7YpmjrnfZvpEQpQOxUbolf/m6mj8abUIaKhbLxijm3qMtBZt/WzsI1pyeIPSsjP11rof1dAvSJNCBzv7UKpcu3pN9fdN7+quRe/qx0nPOqX7WL+QTgrMuzneH31cxxIiVdfkp74hnYpcPikzTWtO7FZqdoaWH9mkm3qMpNubi7qu2yVKLkPXpY0n92tn1FEZJE3rObpM2+7WsI2zD8/qSNwpjfz2UZt5KSUc9/ReY/ViMV2ae358q7bXwhpKZbEj8kih+lIbTu7ThpP7nL1rNUJ1+HsBOAKBEgDAKd5aO0/ZlhwFevlqbIcBRS6TmlfoOSE9Wf8d36WUrHQlZqRIsi2und+5Lm+StPDgukKPdwxurjk7lumlfKMB/XVsm/46tq1M+/33je9ocMsezj59VebBZTP1875/NbJNby2e+poua9tbRoPRZpnn/v5KadmZ8nLzUIY5S4+s+NjaUkzK7W5lsVgcWiuruureqK3WTPvQac//7sgZ6ts0VFJuIdfR3z2u9OxMfX3VE2pQRBj72IpPtObEbgWZ6ujjyx/kpsaFlbVL2hN/fqqdUUflZjBq9thHnL3bdkvKTNOyYkbJguNc1KyLRpVQby8s/ozNqKAozNl/LwBHIFACAFS5mRt/03sbfpEk3dxzlHwKFHL29fSWUuL00PKP9Mu+f7XuxB5rXZ/ru12qjzbPL7ZY6rkgY9Wx7Vp1bHuhxz8Yda+a1AlWr8btdSLxrCJT4hRkqqPWdRtr79lwpWZnKDS4hXw8vIrcflm63dVEcWlJ+itsq7JyzMoyZysrJ1tZ5mwdjj0pSQr2CdDPe//RZ1sXKS49SfHpyXp1+G1q4FtXMzf9Lg+jm1bf8oEeXj5L/4Tv0IIDa+VmMMpsyVFiRoou/vJe3d3nKt12wZhiC+DWdE+t/Mwm0CzJ2byugWtO7NZ1xYw+VdCXVz4mj2K6IxYVsI5s20etAxvraPxpvb/h10KF5Y/GnbL+Hj435CaXbnmH2qNbg9baeNssm3nhCZG69peX1DYopNDyMzf9ru93/1Xktk7ktXitbS795hHrFwDn/gYU1L9pqJ66+Ppit7EnKkwxqQm5f89RiDP/XgCOxLsMAFBldkQe0WN/fqpf9/0rSeraoJWeHXxjoeVGte2jDzf9rrD4M9ZuaVJunYH+zTrro83zi32Ocx/QOgU3l7+Xr3X+llMHlG3JUWO/IE0IHazpva/UI8tn6a11P2p0u776ZvxTunPh/+mTLX/o5p6j9PCAKZKkU0nR+mjTfD0/5CaXDUKk3GLOE396rtjHv931pyTJy81DIXWCFeIfrAxzlqYteENmS46eGHidejXpoPlXv6TLvn1UH425X9f8/KIOxkboh91/affZY/rfX5/rNheu0bP40Hq7u8cUfI+X5PNiWotkmrOsIyZ65wtCDQaD7uw1Vo/++Yk+2vS7ZvS5So3y1bp5ePksZZiz1Cm4uab3vtLZpw+oEG8PL62++X35enpbC0qfczIxWvMmPVtkvb7sHLMyiihkL0mWYtvCurZ/j++s8DY6N2il365+ydmHUm056+8F4GgESgCAKnPvkg90MilaktQqsJGWXveGAooohvruyBm6osMA7Tsbbp3XpUErDW99oebuXFHic9zfb6L+Dd+pJwddq/b1mlnnm166VNnmHDWuU6/YdSeGDtYnW/7QBxt+1f39Jmp3VJiu+O4JRSRF62jcKX034Wlnn8JK08gvSH2adFT3Rm1Uz9tfQd7+CvKuo9lbF2nDyX36adJzGtKyh4LzRsnbHRWmsd8/qbD4M+pQr5n+l/dNdYDJT2unfSijwagLGrfTwdgIPb5ytiTpivb9XTqU69GorfzK+G38plMHlGHOUn2fAHXI9z4tSXFdBqNS4q0/B/vYDo8+vfeVmr11oQ7FntSEec9o1U3vyNPNQy/887V+279aBknvj7qXrm6o8YwGo6JTE/TCP3M0tsMA3d3nKkm5XwoMm/OgJGn+1S9pbIeLbNa7r+8EaijlOVdj67vx/7MOzvDZ1kVaShdCh3PW3wvA0QiUAABVZtaYB3TDb6/ort7j9OSga4ttCu9mdNOlbXrr0ja97X6OW3qO1i0FCsnGpydbW3A0KmE0oiEteyjY21/HE6N0z+L39O3OFUrOSle7oBDd23eCs09fpVt9ywfWJvKZ5izlWCzWriDtgkKsYcWWUwc09OsHlJSZptaBjfXblBdtWgScq7F0XbdL9MOeVdb59/Qd7+xDrFRfjnu8zMu2evdqHUuI1GVteld4hMGDMSesPxcMlPw8vfXdhKc14PO7tTZij+5e9K56h3TUs39/JUl685I7NaL1hc4+dYBDrIvYq+VHNys2LdEaKG2IyC0S3aFes0JhEs6zWCw6lRQjN4NRU7oMtV7HVx3bLh3ZZG2rVfB/lI+z/l4AjkagBACoMqH1W+jkQz8XqplU2SKTY60/N/YrvoWSu9FNzw25STOWvK+Pt/whKXcEoLcunV7l++wM+estjJjzkP7LG4XPKIOa+te3PtbAt65SMtM1pEV3/Tz5edUrEGKcM6Z9f83oPU6fbV2kB/pP0gWN2zv7EF3SkkMbJEkd6zWzjryXX68mHfTi0Fv0+MrZ+mzbYmuh3Lt6XamH8rp2Aq7gph4j9fqa77X59EHtjz6ujsHNtT5iryRpfKdBRa6z+NAGa42agk4knnX2IVWZqJQ4ZeZkq5l/fZuBFwyl/F+a2jIgA1BbESgBAKrMwZgIpRVTq6KsyvMBPzIlTpLk7+ljU2OmKNN7X6k5O5Zr46n9auATqBl9rqoVYVJBE0MHy8fDJDeDUWM7DLAJjZoFNNCnVzykG/OGmE9ITy7UdTExI0XmnBx9MPo+vTtyhkt3dXOm7ByzfsmrSVZSS6MZfa7S+xt+1ankGFkkBXr5UjcJlarNe1MVk5ZYKdse2baPfpj4TKH5HYObq1VgI0WnJmh3VJhNoDSh08U6FBOhP49u0cUtulnX2XrmkLaeOeTs0+V0EXl/W/N/eeAIzd+ZrKb+9TVzzP18qQC4IAIlAECVGf1d2Zt4O1Jkcm6gVFL9pHOMBqNmj31Y/T+7W1Gp8Rrw+Qz9Mvl5Da8l3YJOJp7VbX+8pVFt+2ru+KesQdLMjb9pZ+RRDWjWWTf2GKlpF4zRu+t/1gcbflVCRoqO3ved/L18ZbFY9Mp/3+r/1v2kYJ8ALb72NbUpYmQlOMZnWxdZi7SOad+/0OMWi0Xf7Fyup1Z+plPJMdb58Rkp6jbrFl3Wprfu7zdRl7bpTSsCOFRiRooSMlIqZdspebV+ivLblBfVIbi5sszZ2hCxV1tOH5QkjZ/3jI4n5o7a9t7IGbq5xyjtv/trSZLZkiO3fK1ykjPT5ONhkjHvd6I2fKmw5sRuSVIz/wYO2+aZ5FhFJEUrIim6VpxDoDYiUAIAVJlgb/8KF/9Ny860+yblVF4h8MYl1E+SJHOOWbuiwrT2xG79PPl5TfzxWSVkpGjU3Mf0YP/JemrQdarj5ePck1jJPtu6SEsOb9Syw5t0Vb4uIudabaVlZ+jGHiMlSZ5u7joaf1qS9M66n/TskJtkMBgUn56s2PQkxaYnqf/nd+vPG95Wt4ZtnH1oLudk4lk9u+pLSVLPRm11Wb6aY9k5Zi08uE4v/jPH2vrC291TTwy8Vs0DGujZv79SeEKklh7ZpKVHNqljvWa6osMADWnZQ4Oad3P59zkq39ODb1BaVkalbLtgSH0k9qT+Dd+pPWePaU9UmPaeDdeJxCibOj/HE6PUrUFrXda2t4a27Ck/T28djTutmZt+15nkWP138/vy9vBSjiVHl8x5WDFpiXpm8A26quOgWhG2frZ1Ud65bVKm5ePTk0td5vf9qyVJPu5eascXC4BLIlACAFSZ9bd+VOHWKnN3rtB1v71S6nKnkqKVY7EoKiVOX+9YJkkKydeUPzI51jo61saT+zX86we18eQ+JWelS5K23zFbf0x9RZd/94TSsjP1+prv9dX2pXpv5AxN6TLM2aeyUsSlJemjTfMlSYNadLPp+tA2KEQbT+1XeHykdd7kzkN1/9IPlZVj1rc7V+jZITdJkl4bcbu2nzmsP8O26mxqgqb89Ly23jG71O6GKLu0rAxd+cP/FJUaL0l6adg0GQwGHYw5oS+2LdHX25fqTF5XTyl3hL33Rt6jVnUbS5Ku7jJMMzf9rlf+m6uYtETtjzmh/Wvn6c218+SWN0Lf+6PuVb+moc4+VNRQVTmQwV9h23T7wrcLzW/oW1fDW12gy9r21iWte6lxnXqKS0vSF9sW66p5T+tI3ClJufWA3ln/k54cdJ2WHt6ov45tkyRN+PFZdW/YxuWDpY0n92lXVJgMkm7sfpnNY4kZqTbT50Ym+2r7Uu2KCpNHMV8SmS051u6GU7sOp9sz4KIIlAAAlcpoMGpgsy6SJFO+kcDKq1P9Fnq4/+QSR2uTpA4fXG8Nh86Z2nW4pNzgpMnbE5WT9/31wdgIHYyNkCS1Cmykgc27ysfDpO6N2mrttJm64bdXtCsqTJEpcWX6Vramemj5R9aA4q4C9XXOhUHhCecDpWCfAI1s20d/HFynw3GntO9suDrVbyE3o5vmTXpWvT69Q2HxZ7Q/5oQeWfGxPhx9n7MP0WUYDQbriG4P9Juo0e366b/wnbr4K9tz3KV+S70y/DZd0WGAzXwvd0892H+ypvUcrf9b95N+2vu39kUfl5R7I7jvbLg6BTd39mECZTK89QXyMLqpR6O26tc0VP2bdla/pqHWAPWcb3Ys1x0L37ap5TesZU+9eemd1vo+o9v109JrX9e0BW/qZFK0dkQe0YQfn9WXVz6mm/JaZ7qafWfDJUmj2vZVh7zf+9/3r9aMxe9ZW/g28K0rSbqq0yDN3rpI2ZYcbTi5r9RtN60TTPF/wIURKAEAKpW3h5f+u+UDh23vgsbty1TY08vdU9k5ZklSu3pNNa7jQI1u10+SVNe7ji5o3E5bTx9St4atNbB5V+u/kAIFSXs0aqvNt3+i5//+WvMPrNG0C8Y4+5RWiixztjKys2SUQQObd9XkzkNtHnczGBXg5at63v42o/bc1XucQuoEq3dIR5sh64O8/fXblBc18It7NKpdX93qoufNWbzcPTX/6pf09rof9fjAqZKki5p3UbugEEUkntXkzkN1+4WXa0BemFucAJOfnh96s54ferPC4k5r8aH1WnRovTrXb1mo0DpqB3ejm0xuHjWqRUnruk208baP1aNR2xKX69GordKyM+VmMGpYq566Py+MLeiytn20+64v9d76nzVz0+9yN7ppSoFroiu5scdIxaYlqVvD1tZ5Heo1k7e7p9oGhWhIyx7Wc3tpm946/dAvWh+xVzmWnBK3W9e7jgY272ozahwA12KwWCyWim8GAICaZcWRzerbtJP8vXzLvE5aVobLd9vaFXlUnm7u1m+pz8k0ZxU5JH1pkjPTrF0kcN6+s+HKNGeprncdNQ9o6LDt7ow8ouYBDRVIGAQU6Yfdf2loyx5qWEor13PSsjJ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    }
   },
   "cell_type": "markdown",
   "id": "cbb11b78",
   "metadata": {},
   "source": [
    "![10a910dd6de117ab7a0ab352519f7297.png](attachment:10a910dd6de117ab7a0ab352519f7297.png)\n",
    "\n",
    "## 6.2 有害的歧义\n",
    "\n",
    "不幸的是，随着文法覆盖范围的增加和输入句子长度的增长，分析树的数量也迅速增长。事实上，它以天文数字的速度增长。\n",
    "\n",
    "让我们在一个简单的例子帮助下来探讨这个问题。词fish既是名词又是动词。我们可以造这样的句子fish fish fish，意思是*fish like to fish for other fish*。（用police尝试一下，如果你喜欢更有意思的东西。）下面是“fish”句子的玩具文法。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "13b78587",
   "metadata": {},
   "outputs": [],
   "source": [
    "grammar = nltk.CFG.fromstring(\"\"\"\n",
    "S -> NP V NP\n",
    "NP -> NP Sbar\n",
    "Sbar -> NP V\n",
    "NP -> 'fish'\n",
    "V -> 'fish'\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc632487",
   "metadata": {},
   "source": [
    "现在，我们可以尝试分析一个较长的句子，fish fish fish fish fish，其中一个意思是：“fish that other fish fish are in the habit of fishing fish themselves”。我们使用NLTK的图表分析器，它在本章前面介绍过。这句话有两种读法。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "b5940548",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(S (NP fish) (V fish) (NP (NP fish) (Sbar (NP fish) (V fish))))\n",
      "(S (NP (NP fish) (Sbar (NP fish) (V fish))) (V fish) (NP fish))\n"
     ]
    }
   ],
   "source": [
    "tokens = [\"fish\"] * 5\n",
    "cp = nltk.ChartParser(grammar)\n",
    "for tree in cp.parse(tokens):\n",
    "    print(tree)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "925ee3fa",
   "metadata": {},
   "source": [
    "随着句子长度增加到（3，5，7，...），我们得到的分析树的数量是：1; 2; 5; 14; 42; 132; 429; 1,430; 4,862; 16,796; 58,786; 208,012; ….（这是Catalan数，我们在[4](https://usyiyi.github.io/nlp-py-2e-zh/4.html#chap-structured-programming)的练习中见过）。最后一个是句子长度为23的分析树的数目，这是宾州树库WSJ部分的句子的平均长度。对于一个长度为50的句子有超过1012的解析，这只是Piglet 句子长度的一半（[1](https://usyiyi.github.io/nlp-py-2e-zh/8.html#sec-dilemmas)），这些句子小孩可以毫不费力的处理。没有实际的自然语言处理系统可以为一个句子构建数以百万计的树，并根据上下文选择一个合适的。很显然，人也不会这样做！\n",
    "\n",
    "请注意，这个问题不是只在我们选择的例子中存在。[(Church & Patil, 1982)](https://usyiyi.github.io/nlp-py-2e-zh/bibliography.html#church1982csa)指出`PP`附着句法歧义在像[(18)](https://usyiyi.github.io/nlp-py-2e-zh/8.html#ex-pp)这样的句子中也是按Catalan数的比例增长。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "f70c3f06",
   "metadata": {},
   "outputs": [],
   "source": [
    "def give(t):\n",
    "    return t.label() == 'VP' and len(t) > 2 and t[1].label() == 'NP'\\\n",
    "           and (t[2].label() == 'PP-DTV' or t[2].label() == 'NP')\\\n",
    "           and ('give' in t[0].leaves() or 'gave' in t[0].leaves())\n",
    "def sent(t):\n",
    "    return ' '.join(token for token in t.leaves() if token[0] not in '*-0')\n",
    "def print_node(t, width):\n",
    "        output = \"%s %s: %s / %s: %s\" %\\\n",
    "            (sent(t[0]), t[1].label(), sent(t[1]), t[2].label(), sent(t[2]))\n",
    "        if len(output) > width:\n",
    "            output = output[:width] + \"...\"\n",
    "        print(output)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "686e1a00",
   "metadata": {},
   "source": [
    "我们可以观察到一种强烈的倾向就是最短的补语最先出现。然而，这并没有解释类似`give NP: federal judges / NP: a raise`的形式，其中有生性起了重要作用。事实上，根据[(Bresnan & Hay, 2006)](https://usyiyi.github.io/nlp-py-2e-zh/bibliography.html#bresnan2006gg)的调查，存在大量的影响因素。这些偏好可以用加权语法来表示。\n",
    "\n",
    "概率上下文无关语法（或*PCFG*）是一种上下文无关语法，它的每一个产生式关联一个概率。它会产生与相应的上下文无关语法相同的文本解析，并给每个解析分配一个概率。PCFG产生的一个解析的概率仅仅是它用到的产生式的概率的乘积。\n",
    "\n",
    "最简单的方法定义一个PCFG 是从一个加权产生式序列组成的特殊格式的字符串加载它，其中权值出现在括号里，如[6.4](https://usyiyi.github.io/nlp-py-2e-zh/8.html#code-pcfg1)所示。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "424dfaa1",
   "metadata": {},
   "outputs": [],
   "source": [
    "grammar = nltk.PCFG.fromstring(\"\"\"\n",
    "    S    -> NP VP              [1.0]\n",
    "    VP   -> TV NP              [0.4]\n",
    "    VP   -> IV                 [0.3]\n",
    "    VP   -> DatV NP NP         [0.3]\n",
    "    TV   -> 'saw'              [1.0]\n",
    "    IV   -> 'ate'              [1.0]\n",
    "    DatV -> 'gave'             [1.0]\n",
    "    NP   -> 'telescopes'       [0.8]\n",
    "    NP   -> 'Jack'             [0.2]\n",
    "    \"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2705596",
   "metadata": {},
   "source": [
    "有时可以很方便的将多个产生式组合成一行，如`VP -> TV NP [0.4] | IV [0.3] | DatV NP NP [0.3]`。为了确保由文法生成的树能形成概率分布，PCFG语法强加了约束，产生式所有给定的左侧的概率之和必须为1。[6.4](https://usyiyi.github.io/nlp-py-2e-zh/8.html#code-pcfg1)中的语法符合这个约束：对`S`只有一个产生式，它的概率是1.0；对于`VP`，0.4+0.3+0.3=1.0；对于`NP`，0.8+0.2=1.0。`parse()`返回的分析树包含概率："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "6156e67d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(S (NP Jack) (VP (TV saw) (NP telescopes))) (p=0.064)\n"
     ]
    }
   ],
   "source": [
    "viterbi_parser = nltk.ViterbiParser(grammar)\n",
    "for tree in viterbi_parser.parse(['Jack', 'saw', 'telescopes']):\n",
    "    print(tree)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a511efb0",
   "metadata": {},
   "source": [
    "现在，分析树被分配了概率，一个给定的句子可能有数量庞大的可能的解析就不再是问题。分析器将负责寻找最有可能的解析。\n",
    "\n",
    "## 7 小结\n",
    "\n",
    "- 句子都有内部组织结构，可以用一棵树表示。组成结构的显著特点是：递归、中心词、补语和修饰语。\n",
    "- 语法是一个潜在的无限的句子集合的一个紧凑的特性；我们说，一棵树是符合语法规则的或语法树授权一棵树。\n",
    "- 语法是用于描述一个给定的短语是否可以被分配一个特定的成分或依赖结构的一种形式化模型。\n",
    "- 给定一组句法类别，上下文无关文法使用一组生产式表示某类型*A*的短语如何能够被分析成较小的序列α1 αn。\n",
    "- 依存语法使用产生式指定给定的中心词的依赖是什么。\n",
    "- 一个句子有一个以上的句法分析就产生句法歧义（如介词短语附着歧义）。\n",
    "- 分析器是一个过程，为符合语法规则的句子寻找一个或多个相应的树。\n",
    "- 一个简单的自上而下分析器是递归下降分析器，在语法产生式的帮助下递归扩展开始符号（通常是`S`），尝试匹配输入的句子。这个分析器并不能处理左递归产生式（如`NP -> NP PP`）。它盲目扩充类别而不检查它们是否与输入字符串兼容的方式效率低下，而且会重复扩充同样的非终结符然后丢弃结果。\n",
    "- 一个简单的自下而上的分析器是移位-规约分析器，它把输入移到一个堆栈中，并尝试匹配堆栈顶部的项目和语法产生式右边的部分。这个分析器不能保证为输入找到一个有效的解析，即使它确实存在，它建立子结构而不检查它是否与全部语法一致。\n",
    "\n",
    "## 8 深入阅读\n",
    "\n",
    "本章的附加材料发布在`http://nltk.org/`，包括网络上免费提供的资源的链接。关于使用NLTK分析的更多的例子，请看在`http://nltk.org/howto`上的分析HOWTO。\n",
    "\n",
    "有许多关于句法的入门书籍。[(O'Grady et al, 2004)](https://usyiyi.github.io/nlp-py-2e-zh/bibliography.html#ogrady2004)是一个语言学概论，而[(Radford, 1988)](https://usyiyi.github.io/nlp-py-2e-zh/bibliography.html#radford1988tg)以容易接受的方式介绍转换语法，推荐其中的无限制依赖结构的转换文法。在形式语言学中最广泛使用的术语是生成语法，虽然它与生成并没有关系[(Chomsky, 1965)](https://usyiyi.github.io/nlp-py-2e-zh/bibliography.html#chomsky1965)。X-bar句法来自于[(Jacobs & Rosenbaum, 1970)](https://usyiyi.github.io/nlp-py-2e-zh/bibliography.html#chomsky1970rn)，并在[(Jackendoff, 1977)](https://usyiyi.github.io/nlp-py-2e-zh/bibliography.html#jackendoff1977xs)得到更深的拓展（The primes we use replace Chomsky's typographically more demanding horizontal bars）。\n",
    "\n",
    "[(Burton-Roberts, 1997)](https://usyiyi.github.io/nlp-py-2e-zh/bibliography.html#burtonroberts1997as)是一本面向实践的关于如何分析英语成分的教科书，包含广泛的例子和练习。[(Huddleston & Pullum, 2002)](https://usyiyi.github.io/nlp-py-2e-zh/bibliography.html#huddleston2002cge)提供了一份最新的英语句法现象的综合分析。\n",
    "\n",
    "[(Jurafsky & Martin, 2008)](https://usyiyi.github.io/nlp-py-2e-zh/bibliography.html#jurafskymartin2008)的第12章讲述英语的形式文法；13.1-3节讲述简单的分析算法和歧义处理技术；第14章讲述统计分析；第16章讲述乔姆斯基层次和自然语言的形式复杂性。[(Levin, 1993)](https://usyiyi.github.io/nlp-py-2e-zh/bibliography.html#levin1993)根据它们的句法属性，将英语动词划分成更细的类。\n",
    "\n",
    "有几个正在进行的建立大规模的基于规则的语法的项目，如LFG Pargram 项目`http://www2.parc.com/istl/groups/nltt/pargram/`，HPSG LinGO 矩阵框架`http://www.delph-in.net/matrix/`以及XTAG 项目`http://www.cis.upenn.edu/~xtag/`。\n",
    "\n",
    "## 9 练习\n",
    "\n",
    "1. ☼ 你能想出符合语法的却可能之前从来没有被说出的句子吗？（与伙伴轮流进行。）这告诉你关于人类语言的什么？\n",
    "\n",
    "2. ☼ 回想一下Strunk和White的禁止在句子开头使用however表示“although”的意思。在网上搜索句子开头使用的however。这个成分使用的有多广泛？\n",
    "\n",
    "3. ☼ 思考句子Kim arrived or Dana left and everyone cheered。用括号的形式表示and和or的相对范围。产生这两种解释对应的树结构。\n",
    "\n",
    "4. ☼ `Tree`类实现了各种其他有用的方法。请看`Tree`帮助文档查阅更多细节（如导入Tree类，然后输入`help(Tree)`）。\n",
    "\n",
    "5. ☼ 在本练习中，你将手动构造一些分析树。\n",
    "\n",
    "   1. 编写代码产生两棵树，对应短语old men and women的不同读法\n",
    "   2. 将本章中表示的任一一颗树编码为加标签的括号括起的形式，使用`nltk.Tree()`检查它是否符合语法。使用`draw()`显示树。\n",
    "   3. 如(a) 中那样，为The woman saw a man last Thursday画一棵树。\n",
    "\n",
    "6. ☼ 写一个递归函数，遍历一颗树，返回树的深度，一颗只有一个节点的树的深度应为0。（提示：子树的深度是其子女的最大深度加1。）\n",
    "\n",
    "7. ☼ 分析A.A. Milne 关于Piglet 的句子，为它包含的所有句子画下划线，然后用`S`替换这些（如第一句话变为`S` when:lx` `S`）。为这种“压缩”的句子画一个树形结构。用于建立这样一个长句的主要的句法结构是什么？\n",
    "\n",
    "8. ☼ 在递归下降分析器的演示中，通过选择*Edit*菜单上的*Edit Text*改变实验句子。\n",
    "\n",
    "9. ☼ `grammar1`中的语法能被用来描述长度超过20 词的句子吗？\n",
    "\n",
    "10. ☼ 使用图形化图表分析器接口，尝试不同的规则调用策略做实验。拿出你自己的可以使用图形界面手动执行的策略。描述步骤，并报告它的任何效率的提高（例如用结果图表示大小）。这些改进取决于语法结构吗？你觉得一个更聪明的规则调用策略能显著提升性能吗？\n",
    "\n",
    "11. ☼ 对于一个你已经见过的或一个你自己设计的CFG，用笔和纸手动跟踪递归下降分析器和移位-规约分析器的执行。\n",
    "\n",
    "12. ☼ 我们已经看到图表分析器增加边而从来不从图表中删除的边。为什么？\n",
    "\n",
    "13. ☼ 思考词序列：Buffalo buffalo Buffalo buffalo buffalo buffalo Buffalo buffalo。如`http://en.wikipedia.org/wiki/Buffalo_buffalo_Buffalo_buffalo_buffalo_buffalo_Buffalo_buffalo`解释的，这是一个语法正确的句子。思考此维基百科页面上表示的树形图，写一个合适的语法。正常情况下是小写，模拟听到这句话时听者会遇到的问题。你能为这句话找到其他的解析吗？当句子变长时分析树的数量如何增长？（这些句子的更多的例子可以在`http://en.wikipedia.org/wiki/List_of_homophonous_phrases`找到。）\n",
    "\n",
    "14. ◑ 你可以通过选择*Edit* 菜单上的*Edit Grammar*修改递归下降分析器演示程序。改变第二次扩充产生式，即`NP -> Det N PP`为`NP -> NP PP`。使用*Step*按钮，尝试建立一个分析树。发生了什么？\n",
    "\n",
    "15. ◑ 扩展`grammar2`中的语法，将产生式中的介词扩展为不及物的，及物的和需要`PP`补语的。基于这些产生式，使用前面练习中的方法为句子Lee ran away home画一棵树。\n",
    "\n",
    "16. ◑ 挑选一些常用动词，完成以下任务："
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb3bcf3c",
   "metadata": {},
   "source": [
    "1. 写一个程序在PP附着语料库`nltk.corpus.ppattach`找到那些动词。找出任何这样的情况，相同的动词有两种不同的附着，其中第一个是名词，或者第二个是名词，或者介词保持不变（正如我们在[2](https://usyiyi.github.io/nlp-py-2e-zh/8.html#sec-whats-the-use-of-syntax)句法歧义中讨论过的）。\n",
    "2. 制定CFG语法产生式涵盖其中一些情况。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1c09f03",
   "metadata": {},
   "source": [
    "17. ◑ 写一个程序，比较自上而下的图表分析器与递归下降分析器的效率（[4](https://usyiyi.github.io/nlp-py-2e-zh/8.html#sec-parsing)）。使用相同的语法和输入的句子。使用`timeit`模块比较它们的性能（见[4.7](https://usyiyi.github.io/nlp-py-2e-zh/4.html#sec-algorithm-design)，如何做到这一点的一个例子）。\n",
    "\n",
    "18. 比较自上而下、自下而上和左角落分析器的性能，使用相同的语法和3个符合语法的测试句子。使用`timeit`记录每个分析器在同一个句子上花费的时间。写一个函数，在这三句话上运行这三个分析器，输出3×3格的时间，以及行和列的总计。讨论你的发现。\n",
    "\n",
    "19. ◑ 阅读“garden path”的句子。一个分析器的计算工作与人类处理这些句子的困难性有什么关系？`http://en.wikipedia.org/wiki/Garden_path_sentence`\n",
    "\n",
    "20. ◑ 若要在一个窗口比较多个树，我们可以使用`draw_trees()`方法。定义一些树，尝试一下："
   ]
  },
  {
   "cell_type": "markdown",
   "id": "555aaadf",
   "metadata": {},
   "source": [
    "```\n",
    "from nltk.draw.tree import draw_trees\n",
    "draw_trees(tree1, tree2, tree3)                    \n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd686c05",
   "metadata": {},
   "source": [
    "21. ◑ 使用树中的位置，列出宾州树库前100个句子的主语；为了使结果更容易查看，限制从高度最高为2的子树提取主语。\n",
    "\n",
    "22. ◑ 查看PP附着语料库，尝试提出一些影响`PP`附着的因素。\n",
    "\n",
    "23. ◑ 在本节中，我们说过简单的用术语n-grams不能描述所有语言学规律。思考下面的句子，尤其是短语in his turn的位置。这是基于n-grams 的方法的一个问题吗？"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "816886b4",
   "metadata": {},
   "source": [
    "> What was more, the in his turn somewhat youngish Nikolay Parfenovich also turned out to be the only person in the entire world to acquire a sincere liking to our \"discriminated-against\" public procurator. (Dostoevsky: The Brothers Karamazov)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c96e8ed2",
   "metadata": {},
   "source": [
    "24. ◑ 编写一个递归函数产生嵌套的括号括起的形式的一棵树，显示去掉叶节点之后的子树的非终结符。于是上面的关于Pierre Vinken 的例子会产生：`[[[NNP NNP]NP , [ADJP [CD NNS]NP JJ]ADJP ,]NP-SBJ MD [VB [DT NN]NP [IN [DT JJ NN]NP]PP-CLR [NNP CD]NP-TMP]VP .]S`。连续的类别应用空格分隔。\n",
    "\n",
    "25. ◑ 从古登堡工程下载一些电子图书。写一个程序扫描这些文本中任何极长的句子。你能找到的最长的句子是什么？这么长的句子的句法结构是什么？\n",
    "\n",
    "26. ◑ 修改函数`init_wfst()`和`complete_wfst()`，使WFST中每个单元的内容是一组非终端符而不是一个单独的非终结符。\n",
    "\n",
    "27. ◑ 思考[4.4](https://usyiyi.github.io/nlp-py-2e-zh/8.html#code-wfst)中的算法。你能解释为什么分析上下文无关语法是与n3成正比的，其中*n*是输入句子的长度。\n",
    "\n",
    "28. ◑ 处理宾州树库语料库样本`nltk.corpus.treebank`中的每棵树，在`Tree.productions()`的帮助下提取产生式。丢弃只出现一次的产生式。具有相同的左侧和类似的右侧的产生式可以被折叠，产生一个等价的却更紧凑的规则集。编写代码输出一个紧凑的语法。\n",
    "\n",
    "29. ★ 英语中定义句子`S`的主语的一种常见的方法是作为`S` *的名词短语孩子*和`VP`的*兄弟*。写一个函数，以一句话的树为参数，返回句子主语对应的子树。如果传递给这个函数的树的根节点不是`S`或它缺少一个主语，应该怎么做？\n",
    "\n",
    "30. ★ 写一个函数，以一个语法（如[3.1](https://usyiyi.github.io/nlp-py-2e-zh/8.html#code-cfg1)定义的语法）为参数，返回由这个语法随机产生的一个句子。（使用`grammar.start()`找出语法的开始符号；`grammar.productions(lhs)`得到具有指定左侧的语法的产生式的列表；`production.rhs()`得到一个产生式的右侧。）\n",
    "\n",
    "31. ★ 使用回溯实现移位-规约分析器的一个版本，使它找出一个句子所有可能的解析，它可以被称为“递归上升分析器”。咨询维基百科关于回溯的条目`http://en.wikipedia.org/wiki/Backtracking`\n",
    "\n",
    "32. ★ 正如我们在[7.](https://usyiyi.github.io/nlp-py-2e-zh/7.html#chap-chunk)中所看到的，可以将词块表示成它们的词块标签。当我们为包含gave的句子做这个的时候，我们发现如以下模式：\n",
    "\n",
    "\n",
    "> gave NP\n",
    "> \n",
    "> gave up NP in NP\n",
    "> \n",
    "> gave NP up\n",
    "> \n",
    "> gave NP NP\n",
    "> \n",
    "> gave NP to NP"
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